I'm a full-stack & AI engineer finishing my MS in Computer Science at Rutgers, shipping production platforms and AI tools people rely on.
Open to SWE & AI/ML rolesBased in New Jersey
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A real-time assistant that helps blind users find lost items independently — no more waiting on a video call with a stranger. Streams live camera frames through Gemini 2.5 Flash and speaks back clock-position directions ("your keys are at 2 o'clock").
Domestic workers often have no easy way to learn their legal rights. Fairly answers plain-language questions using a RAG pipeline grounded in verified government and policy documents — built on a semantic chunking pipeline that turns messy policy PDFs into clean, retrievable knowledge.
A cross-platform fitness and nutrition app I designed and built end to end — UI/UX included. Offline-first: Expo SQLite is the primary store with background Firestore sync, so it keeps working with no connection. Snap a meal photo and Gemini Vision estimates the macros.
A cloud-native analysis of 43M+ rows of real procurement data on BigQuery — solo, despite the "group project" label. Found that one distributor controls 54% of US spend, quantified antitrust risk with the Herfindahl-Hirschman Index, and joined NOAA climate data to explain seasonal demand swings.
Mapped 318,604 EC2 price points across 1,337 instance types and 104 regions to find out how AWS actually prices compute. Only 6.2% of instance types are Pareto-optimal, and Graviton chips pack the efficiency frontier 3x denser than Intel.
About
Experience
Built and deployed two production web platforms (real-estate lead-gen and B2B industrial e-commerce). Integrated Stripe Checkout & webhooks, Google Maps, Firebase, and email APIs for $10K+/mo billing and live business workflows.
Built a Siamese Autoencoder intrusion-detection system on NSL-KDD (148K+ samples) in PyTorch with contrastive loss and curriculum learning, lifting accuracy from 54.7% to 82.1%. Authored two research papers.
Guided 25+ students on input validation, sanitization, and authentication in Python and TypeScript; ran Wireshark and Burp Suite lab sessions.
Worked with 1M+ rows of sales data in Python, applying regression and classification models; cut preprocessing time by 30% and delivered EDA reports for the marketing team.
Contact
Open to software engineering, full-stack, and AI/ML roles. If something here resonated, I'd like to hear from you.
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