Final-year Computer Science student and aspiring software engineer. I build full-stack AI systems — FastAPI backends, deep-learning models, and LLM/RAG pipelines — and take them from idea to something that actually runs.
End-to-end AI apps — FastAPI backends, LLM/RAG pipelines, and clean, usable frontends.
Designing, training, and benchmarking models from scratch — CNNs, GRU/LSTM, and KAN.
FastAPI, REST, relational & vector databases — built with production in mind.
Gemini API, structured outputs, and RAG grounding to cut hallucination in real apps.
AI-powered job-search & application assistant. A full-stack AI copilot with a FastAPI backend and Gemini API for resume parsing, ATS-score simulation, and job-description matching — plus a RAG pipeline that grounds LLM outputs to reduce hallucination in match scoring, an LLM analytics dashboard, multi-resume A/B testing, and interview tracking.
AI-powered vishing (voice-phishing) detection system. A real-time dialer that classifies live audio streams to flag phishing calls, backed by a deep-learning pipeline that distinguishes authentic human speech from deepfake-generated audio using spectrogram feature extraction.
A next-item recommendation engine on sequential clickstream data (YooChoose, 50K sessions / 128K+ samples). Implemented and benchmarked three architectures from scratch — GRU baseline, pure recurrent KAN, and a hybrid GRU+KAN using learnable B-spline activations for better interpretability.
A rocket launch management and booking system — scheduling, management, and booking workflows for launches, built end-to-end.
A desktop library-management application built with Java Swing — a GUI for managing books, members, and issue/return workflows, backed by a relational database.
Relevant coursework: Machine Learning · Pattern & Visual Recognition · Deep Learning · Data Structures & Algorithms · Database Management Systems · Operating Systems.
I don't like leaving ideas as ideas. If I can imagine it, I want to build it.
I'm a final-year Computer Science (AI & ML) student at UPES who enjoys turning concepts into real products. From training machine learning models and building FastAPI backends to integrating LLMs with RAG, I love working across the entire stack. Whether it's JobGenie or my latest experiment, I'm always chasing the next problem worth solving.
Outside of building, you'll usually find me solving DSA, exploring new technologies, or figuring out how to make software just a little smarter.
Let's Connect →Open to freelance and full-time opportunities. Reach out about a role, a project, or just to talk shop — I read everything myself.