CS student · AI/ML researcher · Software engineer.
Building production systems that actually scale.
AI dietary concierge using Google Gemini 2.0 Flash. Processes unstructured restaurant data, generates dynamic Safety Confidence Scores, deployed on Google Cloud Run.
RAG-based AI assistant with Few-Shot prompting and function calling via Gemini API. Eliminates ambiguity — responses strictly grounded in official rule docs.
AI-powered itinerary generator at travail.world. Awarded $1,500 NSF I-Corps Propelus grant validating product-market fit before a federal review panel. Built with a 4-person Agile team.
Building DRL agents in Python/PyTorch outperforming submodular greedy baselines on social network graphs with up to 100,000 nodes. Synthesized 20+ papers; literature framework now guides the lab's roadmap. Exploring DQN and PPO on graph-structured sequential decision problems using PyTorch Geometric.
Designed a cost-effective prosthetic through user interviews, iterative 3D modeling, and mechanical analysis. Comprehensive design blueprint with real potential to lower costs and improve quality of life.
CS student at NJIT's Albert Dorman Honors College — GPA 3.71, Dean's List every semester. I build production AI systems, backend infrastructure, and everything in between.
Currently researching Deep Reinforcement Learning for graph optimization under Dr. Shivvrat Arya. Certified by J.P. Morgan and Microsoft Azure. NSF I-Corps grant recipient.
Based in Edison, NJ — open to remote and hybrid. Always happy to connect about new opportunities, collaborations, or just chat about tech.