B.Tech CSE '28 @ TMSL • Aspiring Software Engineer • AI/ML Enthusiast
I'm a Computer Science undergraduate interested in building practical software systems and exploring how AI can solve real-world problems.
Currently focused on:
- 🤖 Artificial Intelligence & Machine Learning
- 💻 Software Engineering & Full-Stack Development
- 🧩 Problem Solving & Computer Science Fundamentals
- 🔬 Research-oriented experimentation
I like understanding how things work, not just making them work.
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| Development |
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| AI / ML |
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| Databases |
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An AI-powered developer workspace for interacting with GitHub repositories, documentation, PDFs, Markdown files, and codebases through natural language.
Focus: AI Engineering • Developer Tools • RAG
Techniques: Semantic Search • Vector Embeddings • RAG • Repository Indexing • LLM Integration
🔗 GitHub Repository | 🚀 Live Demo
An AI-powered platform for generating personalized recruiter outreach emails, LinkedIn messages, networking requests, and professional follow-ups.
Focus: Generative AI • Full-Stack Development
Techniques: LLM Integration • Prompt Engineering • Authentication • Conversation Management
🔗 GitHub Repository | 🚀 Live Demo
A full-stack fraud detection system that combines machine learning with an interactive fintech dashboard to provide real-time, explainable transaction risk assessments.
Focus: Applied Machine Learning • Financial Security
Techniques: Feature Engineering • Random Forest • XGBoost • Model Evaluation • Python Inference
🔗 GitHub Repository | 🚀 Live Demo
A full-stack cognitive assessment platform combining digital neuropsychological tests, ML-based risk scoring, progress tracking, and a guarded RAG-based medical assistant.
Focus: Healthcare AI • Cognitive Analytics
Techniques: Feature Extraction • Risk Scoring • ML Classification • RAG • Clinical Guardrails
🔗 GitHub Repository | 🚀 Live Demo
Building systems. Exploring AI. Learning by doing.