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AGI ahead...
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AGI ahead...

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Kaleemullah-Younas/README.md
Kaleemullah Younas

Who I Am

I'm an AI engineer and full-stack developer who enjoys building things from scratch and figuring out how to make them actually work in the real world. I studied Artificial Intelligence (Data Science) at UMT, and my work usually sits somewhere between AI and product engineering, whether that's RAG, agents, computer vision, or a full-stack application around a model.

I've built 40+ projects over the past three years, worked with clients across healthcare, legal, and education, and somehow ended up with a few research papers along the way. I also really enjoy hackathons, with two 1st-place Devpost wins so far against 1,800+ and 850+ teams.

These Days

- Solving real-world problems for clients across healthcare, fintech, edtech, legal, and other domains, using AI where it actually makes sense.
- Exploring multimodal models, agentic AI, RAG, and new approaches to building reliable AI systems.
- Currently building JitterStack and working on AI products, systems, and use cases from idea to production.
- Still reading Attention Is All You Need. Nine years (less than a decade) later, apparently attention is still all I need... plus GPUs, datasets, and a questionable amount of coffee.

Tech Stack

What actually shows up in my repos, grouped roughly by what it's for.

Languages

Python JavaScript TypeScript HTML CSS PHP

ML / DL / CV

PyTorch TensorFlow Scikit-learn OpenCV Anaconda MATLAB

GenAI & Agents

OpenAI LangChain LangGraph CrewAI FAISS ChromaDB

Data & Analytics

Pandas NumPy Matplotlib PostgreSQL MySQL MongoDB

Backend

FastAPI Flask Django Node.js Express GraphQL

Frontend

React Next.js Tailwind Three.js Vite Redux

Data & Databases

PostgreSQL MySQL MongoDB Prisma Redis Supabase

DevOps & Cloud

Docker AWS GCP Git GitHub Actions Linux

Achievements

🥇 1st - 2 international AI hackathons on Devpost (1,800+ & 850+ teams)
🥇 1st - TechVerse'26, UMT (Agentic AI healthcare, 25+ teams)
🥇 1st - TechVerse'25, UMT (Generative AI, 20+ teams)
🥈 2nd - Softec'25 Kaggle, FAST (40+ teams)
🏅 Top 5 - NaSCon'25, FAST Islamabad (Agentic AI & MCP, 100+ teams)
🎓 3.87/4.0 GPA · 8× Dean's Award
📜 IBM RAG & Agentic AI · AI Engineer for Data Scientists

Latest posts from Medium, auto-updated daily via GitHub Actions:

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Get in Touch

LinkedIn Email Portfolio Patreon Sponsors LeetCode Medium Devpost ORCID

"The secret of getting ahead is getting started."
Mark Twain

My party parrots:

3D contribution graph

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  1. CHAPAL CHAPAL Public

    CHAPAL is a cutting-edge AI Safety & Auditing Platform designed to solve the critical challenge of trust in Large Language Models (LLMs). By combining deterministic rule sets with semantic understa…

    TypeScript 1

  2. Sehat_Guftagu-Interview_version Sehat_Guftagu-Interview_version Public

    Sehat Guftagu is an AI-powered clinical interview platform designed for healthcare landscape. It conducts medical interviews in Urdu/English, generates SOAP reports, and connects patients with doct…

    TypeScript

  3. Answerly-QA-System Answerly-QA-System Public

    ANSWERLY is an intelligent, end-to-end LLM-based Question & Answer system specifically designed to revolutionize customer support for e-learning platforms.

    Python

  4. HealthChat-Pro HealthChat-Pro Public

    HealthChat Pro is an AI-powered medical assistant application that uses large language models to answer health-related questions. The application features a responsive chat interface built with Fla…

    Jupyter Notebook

  5. LegalEdge-Legal-Multi-Agent-Team LegalEdge-Legal-Multi-Agent-Team Public

    LegalEdge is an intelligent legal assistance platform designed to empower law firms and legal professionals with automated contract analysis, risk assessment, and compliance monitoring capabilities…

    Python

  6. Querywise Querywise Public

    Querywise is a multi-agent Retrieval-Augmented Generation (RAG) system designed to help users query long, complex documents with accurate, fact-verified answers. Unlike traditional chatbots like Ch…

    HTML