Welcome to my profile. I am a Master of Artificial Intelligence graduate from RMIT University, based in Melbourne. I enjoy taking ideas from papers and turning them into working software. Checkout my YouTube Channel where I've made videos breaking down some of hottest topics in AI such as RAG (Retreival Augmented Generation).
Alot of my current work sits around RAG (Retrieval Augmented Generation), LLM agents, and deploying ML systems in a way that is practical.
- π Master of AI (RMIT University) + B.Tech in Computer Science
- πΌ Ex AI Engineer at Gieom Business Solutions (built RAG systems for Tier-1 banks)
- β½οΈ Football fan (still not soccer)
- β Chess piece collector π (around 1200 elo)
Repo: https://github.com/yoonus47/AI_Support_Agent
A production-style support assistant that behaves like a real Tier-1 support rep:
- Docs-first deflection: answers from internal docs whenever possible
- Context-aware behavior: checks user plan (Free vs Pro/VIP) before escalating
- Ticket escalation: creates a ticket only when needed, with priority based on rules
- Tool-using agent (LangChain) with structured tool inputs (Zod)
- Backend API + Web UI (not just a CLI demo)
- Built to be extensible for streaming, observability/tool traces, and RAG upgrades
- Backend: Node.js, TypeScript, LangChain, Express, Groq (Llama 3.x 70B), Zod
- Frontend: Next.js (App Router), TypeScript, TailwindCSS
- DevOps: Docker/Compose support (optional)
1) Lazzy.ai
Tech: Python, OpenAI Whisper API, Hugging Face (BART), AWS EC2
AI web app that generates summarized lecture notes from audio recordings. Deployed on AWS EC2.
2) Medified.ai
Tech: Python Flask, HTML/CSS, JavaScript
End-to-end ML web app that suggests potential medical conditions based on biometric inputs.
Tech: Scikit-learn, Pandas, AWS EC2
Regression model to predict housing prices in Bangalore, including feature engineering and deployment.
4) Travelaza
Tech: Flutter, Firebase
Cross-platform travel planning app with auth and real-time database integration.
AI & Machine Learning
- LLMs and NLP: RAG, LangChain, OpenAI API, Hugging Face, prompt design
- Frameworks: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy
- Vector DBs: Chroma, FAISS, Elasticsearch
Data & Backend
- Python, SQL, Java, C++
- AWS (EC2), GCP (25+ badges), Docker, Git
- MySQL, PostgreSQL, Firebase, MongoDB
Full Stack
- React, Node.js, HTML, CSS, Flask
- Flutter, React Native
- Why Chinaβs DeepSeek AI crashed the US Big Tech!
- How Tesla Autopilot Sees and Drives Itself!
- AI Agents: From Chatbots to Autonomous Systems
- What is RAG in Gen AI?
I am open to AI Engineer and Data Scientist roles, collaborations, or just a chat.
- LinkedIn: Muhammad Yoonus
- Email: yoonuskottai@gmail.com
- YouTube: @Yoonus93
Happy Coding! π


