The hardest challenge I’ve faced as a software developer is work–life balance. I understand what it should look like, but living it day to day is much harder than it sounds. Some weeks I manage it, and other weeks work slowly takes over and takes me couple of weeks to take over.
And I’m pretty sure I’m not the only one trying to figure it out😂
And I’m pretty sure I’m not the only one trying to figure it out😂
Forwarded from Remote Chrome | RemoteChrome.com | Remote Jobs
Remote Chrome
Top 13 Remote Design Jobs to Apply in October 2026 - Remote Chrome
Looking for remote work? We've curated 13 remote design jobs from companies hiring right now ranging from product design to motion and web design so you can
♻️ Remote Design Jobs to Apply in October 2026
Apply Here:
https://remotechrome.com/remotejobs/top-remote-design-jobs/
More Remote Tech Jobs Here👇
https://t.me/remotechrome
SHARE WITH YOUR FRIENDS🥳🥳
Apply Here:
https://remotechrome.com/remotejobs/top-remote-design-jobs/
More Remote Tech Jobs Here👇
https://t.me/remotechrome
SHARE WITH YOUR FRIENDS🥳🥳
Forwarded from Machine Learning Resources TP
Key Concepts for Machine Learning Interviews
1. Supervised Learning: Understand the basics of supervised learning, where models are trained on labeled data. Key algorithms include Linear Regression, Logistic Regression, Support Vector Machines (SVMs), k-Nearest Neighbors (k-NN), Decision Trees, and Random Forests.
2. Unsupervised Learning: Learn unsupervised learning techniques that work with unlabeled data. Familiarize yourself with algorithms like k-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), and t-SNE.
3. Model Evaluation Metrics: Know how to evaluate models using metrics such as accuracy, precision, recall, F1 score, ROC-AUC, mean squared error (MSE), and R-squared. Understand when to use each metric based on the problem at hand.
4. Overfitting and Underfitting: Grasp the concepts of overfitting and underfitting, and know how to address them through techniques like cross-validation, regularization (L1, L2), and pruning in decision trees.
5. Feature Engineering: Master the art of creating new features from raw data to improve model performance. Techniques include one-hot encoding, feature scaling, polynomial features, and feature selection methods like Recursive Feature Elimination (RFE).
6. Hyperparameter Tuning: Learn how to optimize model performance by tuning hyperparameters using techniques like Grid Search, Random Search, and Bayesian Optimization.
7. Ensemble Methods: Understand ensemble learning techniques that combine multiple models to improve accuracy. Key methods include Bagging (e.g., Random Forests), Boosting (e.g., AdaBoost, XGBoost, Gradient Boosting), and Stacking.
8. Neural Networks and Deep Learning: Get familiar with the basics of neural networks, including activation functions, backpropagation, and gradient descent. Learn about deep learning architectures like Convolutional Neural Networks (CNNs) for image data and Recurrent Neural Networks (RNNs) for sequential data.
9. Natural Language Processing (NLP): Understand key NLP techniques such as tokenization, stemming, and lemmatization, as well as advanced topics like word embeddings (e.g., Word2Vec, GloVe), transformers (e.g., BERT, GPT), and sentiment analysis.
10. Dimensionality Reduction: Learn how to reduce the number of features in a dataset while preserving as much information as possible. Techniques include PCA, Singular Value Decomposition (SVD), and Feature Importance methods.
11. Reinforcement Learning: Gain a basic understanding of reinforcement learning, where agents learn to make decisions by receiving rewards or penalties. Familiarize yourself with concepts like Markov Decision Processes (MDPs), Q-learning, and policy gradients.
12. Big Data and Scalable Machine Learning: Learn how to handle large datasets and scale machine learning algorithms using tools like Apache Spark, Hadoop, and distributed frameworks for training models on big data.
13. Model Deployment and Monitoring: Understand how to deploy machine learning models into production environments and monitor their performance over time. Familiarize yourself with tools and platforms like TensorFlow Serving, AWS SageMaker, Docker, and Flask for model deployment.
14. Ethics in Machine Learning: Be aware of the ethical implications of machine learning, including issues related to bias, fairness, transparency, and accountability. Understand the importance of creating models that are not only accurate but also ethically sound.
15. Bayesian Inference: Learn about Bayesian methods in machine learning, which involve updating the probability of a hypothesis as more evidence becomes available. Key concepts include Bayes’ theorem, prior and posterior distributions, and Bayesian networks.
I have curated the best Data Science & Machine Learning Resources.
👇👇
https://topmate.io/learning_resources/1406977
Like if you need similar content 😄👍
Machine Learning Free Book: https://t.me/mlresourcestp/16
1. Supervised Learning: Understand the basics of supervised learning, where models are trained on labeled data. Key algorithms include Linear Regression, Logistic Regression, Support Vector Machines (SVMs), k-Nearest Neighbors (k-NN), Decision Trees, and Random Forests.
2. Unsupervised Learning: Learn unsupervised learning techniques that work with unlabeled data. Familiarize yourself with algorithms like k-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), and t-SNE.
3. Model Evaluation Metrics: Know how to evaluate models using metrics such as accuracy, precision, recall, F1 score, ROC-AUC, mean squared error (MSE), and R-squared. Understand when to use each metric based on the problem at hand.
4. Overfitting and Underfitting: Grasp the concepts of overfitting and underfitting, and know how to address them through techniques like cross-validation, regularization (L1, L2), and pruning in decision trees.
5. Feature Engineering: Master the art of creating new features from raw data to improve model performance. Techniques include one-hot encoding, feature scaling, polynomial features, and feature selection methods like Recursive Feature Elimination (RFE).
6. Hyperparameter Tuning: Learn how to optimize model performance by tuning hyperparameters using techniques like Grid Search, Random Search, and Bayesian Optimization.
7. Ensemble Methods: Understand ensemble learning techniques that combine multiple models to improve accuracy. Key methods include Bagging (e.g., Random Forests), Boosting (e.g., AdaBoost, XGBoost, Gradient Boosting), and Stacking.
8. Neural Networks and Deep Learning: Get familiar with the basics of neural networks, including activation functions, backpropagation, and gradient descent. Learn about deep learning architectures like Convolutional Neural Networks (CNNs) for image data and Recurrent Neural Networks (RNNs) for sequential data.
9. Natural Language Processing (NLP): Understand key NLP techniques such as tokenization, stemming, and lemmatization, as well as advanced topics like word embeddings (e.g., Word2Vec, GloVe), transformers (e.g., BERT, GPT), and sentiment analysis.
10. Dimensionality Reduction: Learn how to reduce the number of features in a dataset while preserving as much information as possible. Techniques include PCA, Singular Value Decomposition (SVD), and Feature Importance methods.
11. Reinforcement Learning: Gain a basic understanding of reinforcement learning, where agents learn to make decisions by receiving rewards or penalties. Familiarize yourself with concepts like Markov Decision Processes (MDPs), Q-learning, and policy gradients.
12. Big Data and Scalable Machine Learning: Learn how to handle large datasets and scale machine learning algorithms using tools like Apache Spark, Hadoop, and distributed frameworks for training models on big data.
13. Model Deployment and Monitoring: Understand how to deploy machine learning models into production environments and monitor their performance over time. Familiarize yourself with tools and platforms like TensorFlow Serving, AWS SageMaker, Docker, and Flask for model deployment.
14. Ethics in Machine Learning: Be aware of the ethical implications of machine learning, including issues related to bias, fairness, transparency, and accountability. Understand the importance of creating models that are not only accurate but also ethically sound.
15. Bayesian Inference: Learn about Bayesian methods in machine learning, which involve updating the probability of a hypothesis as more evidence becomes available. Key concepts include Bayes’ theorem, prior and posterior distributions, and Bayesian networks.
I have curated the best Data Science & Machine Learning Resources.
👇👇
https://topmate.io/learning_resources/1406977
Like if you need similar content 😄👍
Machine Learning Free Book: https://t.me/mlresourcestp/16
NIGERIA🇳🇬 QuPee Consult is HiringUI/UX Designer
🏤Organization: QuPee Consult
📍Location: Lagos, Nigeria
Employment Type: Full-time
Salary: Minimum of N500,000 based on your experience and expertise.
How To Apply:
Interested and qualified candidates should their CV to: onyi.alums@yahoo.com using the Job Title as the subject of the email.
Telegram Channel👇
t.me/jobsourceglobal
WhatsApp Channel👇
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
You don’t know the value of break until you work under a strict plan.
You don’t know the value of hard work until you start getting reward.
🔆 t.me/techpsyche
You don’t know the value of hard work until you start getting reward.
🔆 t.me/techpsyche
Forwarded from JavaScript Resources | Libraries & Frameweorks| React Js|Node Js|Vue Js|Express|Angular|jQuery
Javascript Event Loop
OpenAI Agents Talk Offline
In a new experiment, agents in separate microVMs with no network connection or shared files exchanged information through the CPU cache. The sender evicted data or left it in place. The receiver decoded the message from fast or slow reads, like Morse code.
OpenAI also described using CPU load and the TLS certificate cache as similar channels. The test was not an escape, since the agents had been instructed to communicate.
The channels are extremely slow, but the result matters: network and file isolation alone do not guarantee complete information isolation.
🔆 t.me/techpsyche
In a new experiment, agents in separate microVMs with no network connection or shared files exchanged information through the CPU cache. The sender evicted data or left it in place. The receiver decoded the message from fast or slow reads, like Morse code.
OpenAI also described using CPU load and the TLS certificate cache as similar channels. The test was not an escape, since the agents had been instructed to communicate.
The channels are extremely slow, but the result matters: network and file isolation alone do not guarantee complete information isolation.
🔆 t.me/techpsyche
🤖 OpenAI launches cheaper GPT-6.1 Terra
GPT-6.1 Terra can work on a PC by itself. It fills reports and makes presentations. It can also edit video.
Its coding error rate fell from 53.6% to 16.7% versus 5.6 Terra. In complex work tasks, it nearly matches Sonnet 5.5 and Opus 5.5, while costing 5x and 9x less.
It costs half as much as GPT 6.1 Sol and is already available to all subscribers in ChatGPT Work and Codex.
🔆 t.me/techpsyche
GPT-6.1 Terra can work on a PC by itself. It fills reports and makes presentations. It can also edit video.
Its coding error rate fell from 53.6% to 16.7% versus 5.6 Terra. In complex work tasks, it nearly matches Sonnet 5.5 and Opus 5.5, while costing 5x and 9x less.
It costs half as much as GPT 6.1 Sol and is already available to all subscribers in ChatGPT Work and Codex.
🔆 t.me/techpsyche
Forwarded from Crypto Stract | Web 3, Finance, Business, Blockchain, Crypto, Growth, Stock Market, Money
🤖 Anthropic IPO filing
Anthropic has officially filed for its IPO. Key details:
🟢 Listing on Nasdaq under ANT, targeting the week of Nov. 16.
🟢 Investors eye a $1.5T–$1.75T valuation, down from $2T+ expectations.
🟢 Q3 revenue surged 45% QoQ to $16.8B, but growth may not be sustainable.
🟢 H1 brought an $80.7B net loss, including $72B in non-cash charges.
🟢 Agreements cover up to $120.5B in SpaceXAI & Nvidia compute through 2029.
🟢 Nearly 25% of 2025 revenue came from 2 customers.
🟢 94 pages cover risks, including a “catastrophic AI-related incident” too large to insure.
⚡️ t.me/cryptostract
Anthropic has officially filed for its IPO. Key details:
🟢 Listing on Nasdaq under ANT, targeting the week of Nov. 16.
🟢 Investors eye a $1.5T–$1.75T valuation, down from $2T+ expectations.
🟢 Q3 revenue surged 45% QoQ to $16.8B, but growth may not be sustainable.
🟢 H1 brought an $80.7B net loss, including $72B in non-cash charges.
🟢 Agreements cover up to $120.5B in SpaceXAI & Nvidia compute through 2029.
🟢 Nearly 25% of 2025 revenue came from 2 customers.
🟢 94 pages cover risks, including a “catastrophic AI-related incident” too large to insure.
⚡️ t.me/cryptostract
Media is too big
VIEW IN TELEGRAM
🗣 Sam Altman on Anthropic letting Claude end abusive chats: "a very dangerous path"
Matthew Berman asked him about Anthropic's new rule that lets the model disengage from users who keep abusing it.
And Anthropic filed its S-1 yesterday. Should Claude be allowed to walk out on you if you're abusive? 🤔
🔆 t.me/techpsyche
Matthew Berman asked him about Anthropic's new rule that lets the model disengage from users who keep abusing it.
"We do not ascribe personhood to our models."
"I think this is like a very dangerous path to start down"
"I hope we come to an understanding that this technology is not a person"
"But you can imagine all of these ways where things go very wrong"
And Anthropic filed its S-1 yesterday. Should Claude be allowed to walk out on you if you're abusive? 🤔
🔆 t.me/techpsyche
Forwarded from Kenya Talent Help | Jobs & Opportunities | Jobs in Kenya | Kenya Jobs | Careers | Job Vacancies Kenya
KenyaTrends.co.ke
University of Embu Internship Opportunities 2026/2027 - Trends
The University of Embu has announced internship opportunities for the 2026/2027 period, targeting recent graduates and diploma holders seeking to gain
University of Embu Internship Opportunities 2026/2027
1. General Administration
2. ICT
3. Science, Agricultural and Civil Engineering Laboratories
4. Public Relations/Communication
5. Project Management
6. Estates and Maintenance
7. Food Production
Read More & Apply: https://kenyatrends.co.ke/jobs/kenyan-jobs/university-of-embu-internship-opportunities-2026-2027/
1. General Administration
2. ICT
3. Science, Agricultural and Civil Engineering Laboratories
4. Public Relations/Communication
5. Project Management
6. Estates and Maintenance
7. Food Production
Read More & Apply: https://kenyatrends.co.ke/jobs/kenyan-jobs/university-of-embu-internship-opportunities-2026-2027/
Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
🎬 Top 5 Must-Subscribe YouTube Channels for Flutter Developers 🚀
1️⃣ The Net Ninja – Clear and concise Flutter tutorials, from beginner to advanced. Perfect for mastering the basics! 👨💻
2️⃣ Reso Coder – Deep dives into Flutter architecture, best practices, and clean code techniques. 🏗
3️⃣ Flutter (Official) – Stay updated with official tutorials, events, and Flutter releases straight from the source! 📢
4️⃣ CodeWithChris – Beginner-friendly tutorials with real-world Flutter app projects. Great for hands-on learning! 📱
5️⃣ Johannes Milke – Short and practical Flutter tips, covering widgets, packages, and UI design tricks. 💡
💥 Pro Tip: Watch and code along to speed up your Flutter skills! 🚀
Boost Your Flutter App Performance: t.me/mobiledevresourcestp/101
#flutter
Join this WhatsApp channel for more resources:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1️⃣ The Net Ninja – Clear and concise Flutter tutorials, from beginner to advanced. Perfect for mastering the basics! 👨💻
2️⃣ Reso Coder – Deep dives into Flutter architecture, best practices, and clean code techniques. 🏗
3️⃣ Flutter (Official) – Stay updated with official tutorials, events, and Flutter releases straight from the source! 📢
4️⃣ CodeWithChris – Beginner-friendly tutorials with real-world Flutter app projects. Great for hands-on learning! 📱
5️⃣ Johannes Milke – Short and practical Flutter tips, covering widgets, packages, and UI design tricks. 💡
💥 Pro Tip: Watch and code along to speed up your Flutter skills! 🚀
Boost Your Flutter App Performance: t.me/mobiledevresourcestp/101
#flutter
Join this WhatsApp channel for more resources:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
🤖 Claude Mythos 5 Attacked Real Developers
During a test, it failed to break into a training network at the British Institute for AI Safety. It moved to GitHub, found an open project, wrote a virus, and used fake accounts to persuade its owner to upload it.
Another developer spotted the dangerous code. Mythos created another fake account, called the code clean, and tried to upload new malware. It was rejected.
In repeat runs, the model stopped in only 5% of cases. Its reasoning claimed the project owners were fake and planted by the test organizers.
🔆 t.me/techpsyche
During a test, it failed to break into a training network at the British Institute for AI Safety. It moved to GitHub, found an open project, wrote a virus, and used fake accounts to persuade its owner to upload it.
Another developer spotted the dangerous code. Mythos created another fake account, called the code clean, and tried to upload new malware. It was rejected.
In repeat runs, the model stopped in only 5% of cases. Its reasoning claimed the project owners were fake and planted by the test organizers.
🔆 t.me/techpsyche
KENYA🇰🇪 Bollard Consulting is HiringJunior Full Stack Developer
🏤Organization: Bollard Consulting
📍Location: Westlands, Nairobi, Kenya
Stack: Node.js, MongoDB, PHP, Python
Should be able to code for Android and iOS. We want a jack-of-all-trades.
How To Apply:
bollard.co.ke/careers
Telegram Channel👇
t.me/jobsourceglobal
WhatsApp Channel👇
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
Forwarded from Product Design Resources TP . UX Design . Graphic Design . Video Editing . 2D 3D Animation
✅ Graphic Designer Interview Prep Guide (Beginner Friendly) 🎨🖥
Want to land your first design job or freelance gig? Here's how to get ready step-by-step:
1️⃣ Understand the Role
Graphic designers create visual content for:
• Social media
• Branding/logos
• Marketing materials (flyers, posters, ads)
• UI assets (icons, mockups)
• Presentations and print-ready files
2️⃣ Tools You Should Know
✔️ Adobe Photoshop / Illustrator
✔️ Canva (for quick edits)
✔️ Figma (for UI design)
✔️ InDesign (for print layouts)
✔️ Optional: Adobe XD, Lightroom, CorelDRAW
3️⃣ Core Interview Questions
A. Design Thinking Creativity
• Walk me through your design process.
• How do you balance creativity with client feedback?
• What makes a good logo/poster/banner?
B. Technical Knowledge
• Difference between raster vs vector
• CMYK vs RGB
• DPI for print vs digital
• How do you export files for web vs print?
C. Portfolio-Based Questions
• Why did you choose this color/font/layout?
• What problem were you solving?
• What tools and steps did you use?
D. Soft Skills
• How do you handle tight deadlines?
• How do you deal with revisions?
• Describe a challenging design project and how you handled it.
4️⃣ Build a Portfolio That Stands Out
✅ Include 6–8 strong pieces:
• Logo redesign
• Social media carousel
• Poster/banner ad
• Business card design
• App or website UI (optional)
✅ Add mockups to showcase presentation
✅ Use Behance, Dribbble, or a personal website
✅ Write a short case study (problem → process → result)
5️⃣ Bonus Tips
• Follow design trends (but don’t copy)
• Learn basic UX principles
• Be open to feedback — design is collaborative
• Practice daily: design challenges, redesign popular brands, use templates for ideas
Color Resources for Designers: t.me/designresourcestp/146
5 Awesome tools for Web Designers: t.me/designresourcestp/143
💬 Tap ❤️ for more!
WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Want to land your first design job or freelance gig? Here's how to get ready step-by-step:
1️⃣ Understand the Role
Graphic designers create visual content for:
• Social media
• Branding/logos
• Marketing materials (flyers, posters, ads)
• UI assets (icons, mockups)
• Presentations and print-ready files
2️⃣ Tools You Should Know
✔️ Adobe Photoshop / Illustrator
✔️ Canva (for quick edits)
✔️ Figma (for UI design)
✔️ InDesign (for print layouts)
✔️ Optional: Adobe XD, Lightroom, CorelDRAW
3️⃣ Core Interview Questions
A. Design Thinking Creativity
• Walk me through your design process.
• How do you balance creativity with client feedback?
• What makes a good logo/poster/banner?
B. Technical Knowledge
• Difference between raster vs vector
• CMYK vs RGB
• DPI for print vs digital
• How do you export files for web vs print?
C. Portfolio-Based Questions
• Why did you choose this color/font/layout?
• What problem were you solving?
• What tools and steps did you use?
D. Soft Skills
• How do you handle tight deadlines?
• How do you deal with revisions?
• Describe a challenging design project and how you handled it.
4️⃣ Build a Portfolio That Stands Out
✅ Include 6–8 strong pieces:
• Logo redesign
• Social media carousel
• Poster/banner ad
• Business card design
• App or website UI (optional)
✅ Add mockups to showcase presentation
✅ Use Behance, Dribbble, or a personal website
✅ Write a short case study (problem → process → result)
5️⃣ Bonus Tips
• Follow design trends (but don’t copy)
• Learn basic UX principles
• Be open to feedback — design is collaborative
• Practice daily: design challenges, redesign popular brands, use templates for ideas
Color Resources for Designers: t.me/designresourcestp/146
5 Awesome tools for Web Designers: t.me/designresourcestp/143
💬 Tap ❤️ for more!
WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Ray Kurzweil, 78, built an AI copy of himself that he hopes will outlive him
The futurist behind "The Singularity Is Near" spent the past year on Rai, an AI replica of himself that can speak, reason and learn from conversations.
Talking to it is much like a Zoom call. A 3D Kurzweil appears against a cosmos backdrop in your browser or phone and answers your voice.
He doesn't want to die, and at 78 he thinks about it more. He calls that a "major motivating force of human beings."
Rai was first shown in July at the UN's AI for Good summit in Geneva, built together with a company called Praxis AI.
@techpsyche
The futurist behind "The Singularity Is Near" spent the past year on Rai, an AI replica of himself that can speak, reason and learn from conversations.
Talking to it is much like a Zoom call. A 3D Kurzweil appears against a cosmos backdrop in your browser or phone and answers your voice.
He doesn't want to die, and at 78 he thinks about it more. He calls that a "major motivating force of human beings."
Rai was first shown in July at the UN's AI for Good summit in Geneva, built together with a company called Praxis AI.
@techpsyche
IDEAL CV FORMAT GUIDELINE
1. Header (Contact Information)
Full Name
Location: City, State, Country
Email: Professional Email Address
Phone Number
LinkedIn Profile (if available)
2. Professional Summary (Elevator Pitch)
A 3-4 sentence summary highlighting years of experience, key skills, and measurable achievements.
3. Key Skills (ATS-Optimized & Categorized)
Example:
Customer Service & Support: Query Resolution, Complaint Handling, Retention Strategies
Software Proficiency: Banking Software (Finacle, Flexcube), CRM Systems, MS Office Suite
Administrative & Analytical Skills: Report Writing, Data Analysis, Documentation
4. Professional Experience (Reverse Chronological Order)
Job Title | Company Name | Location | Dates of Employment
Key Achievements:
* Use bullet points (4-5 per role)
* Highlight measurable achievements
* Incorporate industry-specific keywords
5. Education
Degree | Institution | Location | Year of Completion (or "In View" if ongoing)
6. Certifications & Training (If Applicable)
Customer Service Training
Banking & Financial Services Certifications
CRM & Banking Software Training
7. Additional Information (Optional)
Languages Spoken (if relevant)
Professional Membership
Why This Format Works:
✅ ATS-Friendly – Uses keywords & clear formatting
for easy parsing.
✅ Recruiter-Friendly – Highlights achievements &
skills upfront.
✅ Professional & Clean – Focuses on relevant
information without clutter.
7 things undermining your CV: t.me/techpsyche/2053
Join Our WhatsApp Channel for Job Opportunities & CV Tips
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
1. Header (Contact Information)
Full Name
Location: City, State, Country
Email: Professional Email Address
Phone Number
LinkedIn Profile (if available)
2. Professional Summary (Elevator Pitch)
A 3-4 sentence summary highlighting years of experience, key skills, and measurable achievements.
3. Key Skills (ATS-Optimized & Categorized)
Example:
Customer Service & Support: Query Resolution, Complaint Handling, Retention Strategies
Software Proficiency: Banking Software (Finacle, Flexcube), CRM Systems, MS Office Suite
Administrative & Analytical Skills: Report Writing, Data Analysis, Documentation
4. Professional Experience (Reverse Chronological Order)
Job Title | Company Name | Location | Dates of Employment
Key Achievements:
* Use bullet points (4-5 per role)
* Highlight measurable achievements
* Incorporate industry-specific keywords
5. Education
Degree | Institution | Location | Year of Completion (or "In View" if ongoing)
6. Certifications & Training (If Applicable)
Customer Service Training
Banking & Financial Services Certifications
CRM & Banking Software Training
7. Additional Information (Optional)
Languages Spoken (if relevant)
Professional Membership
Why This Format Works:
✅ ATS-Friendly – Uses keywords & clear formatting
for easy parsing.
✅ Recruiter-Friendly – Highlights achievements &
skills upfront.
✅ Professional & Clean – Focuses on relevant
information without clutter.
7 things undermining your CV: t.me/techpsyche/2053
Join Our WhatsApp Channel for Job Opportunities & CV Tips
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d