Everything you have is because you deserve it, whether it is a good thing or a bad thing. All that matters is how you accept and adapt it to your life. Everyone gets what they plant. The one who plants a seed gets a fruit, and the reverse is true.
@byte_philosopher
@byte_philosopher
π―14β€1
Forwarded from Zemenay Community (Miki)
AI Developer (Full-Time) 10 Roles
Weβre looking for creative, skilled, and detail-oriented AI Developers from those who love experimenting with cutting-edge models to production-focused engineers who can ship reliable, scalable AI systems that actually solve real problems.
What Weβre Looking For
1. Strong Python skills with core data/AI libraries: NumPy, Pandas, Scikit-learn, plus solid data wrangling and visualization.
2. Proficiency with PyTorch or TensorFlow/Keras, including experience with Transformers, LLMs, fine-tuning, and inference optimization.
3. Strong grasp of machine learning fundamentals β supervised/unsupervised learning, evaluation metrics, feature engineering, and managing overfitting.
4. Hands-on experience with Generative AI and LLM systems β prompt engineering, RAG, LangChain/LlamaIndex, and vector databases (Pinecone, Weaviate, etc.).
5. Familiarity with MLOps β model deployment (FastAPI, Docker, cloud platforms), versioning, monitoring, and scalable ML workflows.
6. Ability to write clean, maintainable, production-ready code.
7. A strong portfolio (GitHub/Kaggle/Hugging Face) demonstrating real AI/ML projects.
8. Curiosity and drive to grow in a fast-paced, collaborative environment.
Position Details
Salary: 20,000 β 40,000 ETB (negotiable)
Apply here
β’ forms.gle/bb1RmxBwRw7Hg9ZV6
Weβre looking for creative, skilled, and detail-oriented AI Developers from those who love experimenting with cutting-edge models to production-focused engineers who can ship reliable, scalable AI systems that actually solve real problems.
What Weβre Looking For
1. Strong Python skills with core data/AI libraries: NumPy, Pandas, Scikit-learn, plus solid data wrangling and visualization.
2. Proficiency with PyTorch or TensorFlow/Keras, including experience with Transformers, LLMs, fine-tuning, and inference optimization.
3. Strong grasp of machine learning fundamentals β supervised/unsupervised learning, evaluation metrics, feature engineering, and managing overfitting.
4. Hands-on experience with Generative AI and LLM systems β prompt engineering, RAG, LangChain/LlamaIndex, and vector databases (Pinecone, Weaviate, etc.).
5. Familiarity with MLOps β model deployment (FastAPI, Docker, cloud platforms), versioning, monitoring, and scalable ML workflows.
6. Ability to write clean, maintainable, production-ready code.
7. A strong portfolio (GitHub/Kaggle/Hugging Face) demonstrating real AI/ML projects.
8. Curiosity and drive to grow in a fast-paced, collaborative environment.
Position Details
Salary: 20,000 β 40,000 ETB (negotiable)
Apply here
β’ forms.gle/bb1RmxBwRw7Hg9ZV6
π₯2π2π1
Forwarded from Solo codes (Brook Solomon)
Introducing Telegram Search Engine π
TSE is a telegram crawler you can build other projects on top of.
Out of the box it comes with:
β Channel discovery β keyword "phone" and it will search using that or give it a seed channel -> link-graph crawling (follows mentions, forwards) that snowballs seeds into thousands of channels
β AI analysis β a local LLM classifies every channel, writes a summary, no API keys.
β Real search β typo-tolerant, relevance-ranked search (Meilisearch)
β Quality scoring β channels ranked by activity, content quality, network influence (PageRank) & freshness
β Community graph β an interactive, Obsidian-style map of how channels reference each other.
π³ Self-hosted & open source β one docker (Postgres + search + API + UI).
The live demo explores a frozen snapshot of tech-community channels as a proof of concept.
https://telegramsearchengine.dev/
explore and also drop a star : https://github.com/Brooksolomon/Telegram-Search-Engine
TSE is a telegram crawler you can build other projects on top of.
Out of the box it comes with:
β Channel discovery β keyword "phone" and it will search using that or give it a seed channel -> link-graph crawling (follows mentions, forwards) that snowballs seeds into thousands of channels
β AI analysis β a local LLM classifies every channel, writes a summary, no API keys.
β Real search β typo-tolerant, relevance-ranked search (Meilisearch)
β Quality scoring β channels ranked by activity, content quality, network influence (PageRank) & freshness
β Community graph β an interactive, Obsidian-style map of how channels reference each other.
π³ Self-hosted & open source β one docker (Postgres + search + API + UI).
The live demo explores a frozen snapshot of tech-community channels as a proof of concept.
https://telegramsearchengine.dev/
explore and also drop a star : https://github.com/Brooksolomon/Telegram-Search-Engine
π₯3
Forwarded from MissCoderβ¨ (MCβ¨)
CodeLore V0 is outttt π₯
Hey everyone π
I've been working on something called CodeLore, and v0 is finally out π
CodeLore is a place where programming concepts are explained using stories, chaos, and weird analogies so they're easier to understand and remember.
You can:
β Read lores from the community
β Write and publish your own
β like the good ones
β Search by topic or tag
β Share them anywhere
β Install it as a mobile app
Built with React, TypeScript, Tailwind, Framer Motion, and Supabase.
Honestly, this started as a personal project to store the creative analogies I come up with while learning.
Later, I thought it would be cool to make it available for others who want a place to save and share their own explanations.
If you're someone who likes getting creative while learning, give it a try π
https://code-lore-flax.vercel.app/
I'd be happy to hear your feedback and suggestions π
#projects
Hey everyone π
I've been working on something called CodeLore, and v0 is finally out π
CodeLore is a place where programming concepts are explained using stories, chaos, and weird analogies so they're easier to understand and remember.
You can:
β Read lores from the community
β Write and publish your own
β like the good ones
β Search by topic or tag
β Share them anywhere
β Install it as a mobile app
Built with React, TypeScript, Tailwind, Framer Motion, and Supabase.
Honestly, this started as a personal project to store the creative analogies I come up with while learning.
Later, I thought it would be cool to make it available for others who want a place to save and share their own explanations.
If you're someone who likes getting creative while learning, give it a try π
https://code-lore-flax.vercel.app/
I'd be happy to hear your feedback and suggestions π
#projects
π₯2
Bytephilosopher chat
Yostina, so you a girl π§
π13π€£6
π€5π3β€2
EQUB MANAGER
equib_manager_v3.2.0.apk
I don't think any body is noticing what @atocodes is doing. It is really useful and applicable in Ethiopia context for our α₯αα₯. Please make sure to check it out.
#community
@byte_philosopher
#community
@byte_philosopher
π₯7