I'm an AI Engineer and builder with a B.Tech in Engineering Physics from IIT Roorkee (CGPA: 8.415/10). I specialize in turning cutting-edge AI research into production-grade products — from knowledge ingestion pipelines and agentic workflows to multilingual RAG architectures that serve real users.
My work spans the full LLM stack: fine-tuning large models (Llama-3-70B, 90B-Vision), deploying serving infrastructure with vLLM, designing evaluation frameworks, and shipping end-to-end AI systems for healthcare and conversational AI. I think like a founder — every feature I build starts with a user problem, not a paper.
Beyond engineering, I'm drawn to building businesses. I've won multiple startup competitions and business case studies at IIT BHU, Techfest IIT Bombay, and Enactus — spanning social entrepreneurship, electric mobility, and sustainable product design. Currently an AI Engineer at BorderPlus, previously at Convai Technologies.
End-to-end projects — from idea to deployed product, with code on GitHub.
Tell Journee where you want to go and what you love doing — it builds a complete day-by-day itinerary with flights, hotels, and activities tailored to your travel style, all refinable through conversation.
Ship AI agents with confidence. Compare GPT and Claude side-by-side, version prompts with A/B variants, and run automated LLM-as-a-Judge evaluations — all in one workspace.
Practice real conversations with AI-powered characters. Each message is scored in real-time with personalized coaching feedback — a safe space to build social confidence.
Implemented VGG-19 based style transfer comparing custom-trained and pretrained ImageNet weights. Built a curated artistic styles dataset and ran comparative quality analysis across model configurations.
Academic and research projects that shaped my thinking across AI, physics, and optimization.
Novel deep learning architecture achieving 99.6% accuracy for State of Charge prediction. Created an India-specific battery dataset and presented at the IMESD Conference.
Siamese CNN with contrastive loss achieving 81% accuracy on the ICDAR 2011 dataset for signature verification and forgery detection.
Physics-based Monte Carlo simulation for photon transport in human epidermal tissue, with strong correlation to published experimental data.
Multi-objective optimization models for electric vehicle recycling center placement, jointly minimizing financial cost and environmental impact using non-linear techniques.
Designed survey methodology and feature engineering pipelines to predict student financial behavior using SVM with multiple kernel configurations.
Winner of Qiskit Fall Fest 2021, IIT Roorkee Quantum Hackathon. Designed a quantum-based music composition system using Qiskit.
Autonomous cleaning robot built with Arduino. Uses dual IR sensors for obstacle avoidance, a servo-driven sweeping arm, and an LCD for real-time status display.
2023 — Research internship at McMaster University, Canada — multi-objective optimization for EV recycling infrastructure
2023 — Recognized for all-round excellence among a batch of 1200 students at IIT Roorkee
2023 — Social Budgeting Convention, Enactus TIET — Ideated sustainable flower recycling businesses (incense sticks, perfumes, rural tourism) for a village in Bengal
Aug 2022 — E Cell IIT BHU — Pitched a restaurant analytics and advertisement platform to promote local small businesses and minimize food wastage
May 2022 — Business development competition in electric mobility — Led team to finals (Top 15 out of 100+ teams)
Feb 2022 — Enactus IIT Roorkee — Designed a self-sustainable education platform providing free mentorship and guidance for JEE-NEET aspirants
Nov 2021 — Quantum Computing Group IIT Roorkee — Built a quantum-based music composer using Qiskit over a 3-day hackathon
I'm always open to discussing new opportunities, startup ideas, research collaborations, or interesting problems at the intersection of AI and building products.