TRADER 📈《》TIME & PRICE.
AI and Machine Learning Engineer.
(Feel like you’re not enough?
Maybe you aren’t - yet.
Set your heart ablaze.
Push pass your Limits)
Starting a 60 Days of Learning Challenge 🎯
I’ll share daily takeaways in AI/ML — simple, practical, and consistent. A way to stay accountable + share value with others 🚀
#60DaysOfLearning#AI#MachineLearning
Meet OmniSense: An AI that sees, hears, speaks, and remembers.
I just finished building this end-to-end multimodal system from scratch. It handles real-time voice, image analysis, and document RAG.
Built with FastAPI, Gemini, and Docker.
Code & Demo [https://t.co/AcK3mzmDeX]
I took a basic RAG script and turned it into an Enterprise-Grade system. ✅ Hybrid Search (Vector + Keyword) ✅ Conversational Memory ✅ Verifiable Citations
Full breakdown + Code is on my LinkedIn. 👇 (https://t.co/3b9jy2ogKw)
Day 37: Explored MCP servers and how they enable LLMs to use external tools & APIs. This architecture is key to overcoming historical challenges in LLM integration, making them more versatile and powerful. #LLM#AI
Day 36: Explored Recommendation Systems! Learned how ML personalizes content on Netflix & Amazon. Key types: Content-Based, Collaborative, & Hybrid. Essential for user engagement! #RecommendationSystems#MachineLearning
Day 35: Explored Decision Forests! 🌳🌲 An ensemble of decision trees, they combine outputs for robust, accurate predictions. Great for tabular data, often faster & more reliable than NNs, and handle noisy data well. #MachineLearning#DecisionForests
Day 33 & 34- Deep dive into #LangGraph today! 🧠 Explored states, nodes, and conditional edges for building robust, stateful AI agents. This framework is a game-changer for orchestrating complex workflows. #AI#AgenticAI
Day 31 & 32: Deep dive into FastAPI! Explored URL anatomy, CRUD, data validation with Pydantic, and critical database choices (PostgreSQL for production!). Also covered API routing & password hashing for security. So much learned! #FastAPI#APIdevelopment