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👨‍💻 About Me

I build practical AI systems that connect intelligent reasoning with real-world software. My focus is on Agentic AI, Generative AI, Retrieval-Augmented Generation, NLP, and deep-learning solutions that solve business problems and improve user experiences.

• 🎓 Education: 6th-semester CS student at COMSATS University Islamabad, Lahore Campus.
• 🏆 Leadership: President / Chairperson at ACM COMSATS Lahore Chapter (2025–2026).
• 🚀 What I Build: Agentic AI systems, Generative AI products, NLP workflows, RAG architectures, deep-learning models (CNNs/ANNs), and AI-powered SaaS applications.
• 🧠 Currently Learning: Autonomous AI agents, advanced prompting, LLM orchestration, cloud deployment, and production-grade AI systems.
• ⚡ Fun Fact: Beyond LLMs and agents, I also train classic deep-learning models — CNNs for medical imaging and ANNs for churn prediction.

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🛠️ Tech Stack & Tools

🧠 AI/ML — Agentic AI, GenAI, NLP & Deep Learning

🌐 Product UI & Frontend

⚙️ Backend, Databases & Cloud

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🚀 Featured Live Projects

Project	Description	Live Link
Prompt Tutor AI	AI SaaS that analyzes, scores, and optimizes LLM prompts across multiple dimensions to lift output quality and reliability.	Live App
PhishGuard AI	NLP phishing detector — TF-IDF + Logistic Regression paired with a hybrid heuristic rules engine and a 20-worker concurrent Gmail scanner.	Live App
Medical Diagnostic System	Probabilistic inference engine blending Random Forest with a Bayesian Network over a Neo4j knowledge graph to rank likely conditions from symptoms.	Live App
Health Risk Predictor	Random Forest over a 270K-record, 10-feature lifestyle dataset predicting 3-tier health risk, served via a stateless Flask app with inline reports.	Live App

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🧪 Machine Learning & Deep Learning

Project	Description	Code
Telco Customer Churn — ANN	Keras ANN (64→32→1) on the 7,043-record IBM Telco dataset — stratified split, inverse-frequency class weighting, and a Streamlit analytics dashboard.	GitHub
Brain Tumor MRI — CNN	Custom 3-block CNN (32→64→128) with Batch Normalization + Global Average Pooling classifying brain MRI scans into 4 tumor categories.	GitHub

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🐍 Contribution Snake

Auto-generated daily by a GitHub Action that “eats” my contribution graph.

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📊 GitHub Stats

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📈 Activity & Metrics (lowlighter)

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