Projects
Selected work and project archive
I like building systems that are technically deep and useful in practice — especially across AI/ML, backend infrastructure, full-stack products, and developer tools.
Professional Experience
2 roles
Velocifile — RegDoc AI
Multi-tenant AI document processing for regulatory compliance across 51 US states
Validia — Interview Guard
Remote interview proctoring with AI gaze tracking and computer vision
AI & Machine Learning
5 projects
YOLOv2-based road hazard detection on Raspberry Pi
NLP-powered real vs fake news classification
Full-Stack & Cloud
6 projects
Serverless AWS chatbot for dining recommendations
Chrome extension for personalized LinkedIn outreach
Finance & Trading
3 projects
Algorithmic trading strategies — NYU Stern
Games
3 projects
Systems & Low-Level
2 projects
Hackathon & Team Projects
4 projects
Multi-threaded portfolio analytics in C++ — Team Project
On-device AI companion — LMStudio x Microsoft x Qualcomm @ NYU
Multithreaded web crawler with TF-IDF search — NYU Team Project
ML model for RNA splicing prediction — NYU Courant Research
Experience snapshots
Role details with highlights and stack
Velocifile — Software Engineer Intern · RegDoc AI
Jul 2025 — Present
Software engineering internship at Velocifile building RegDoc AI, a multi-tenant AI document processing platform for regulatory documents across 51 US states.
- Architected multi-tenant AI document processing pipeline handling 50,000+ regulatory documents across 51 states with automated ETL pipelines, real-time OCR, and hybrid semantic search achieving 1,000+ docs/hour and 28% search accuracy improvement (F1: 0.90).
- Built GPU-aware processing scheduler with adaptive concurrency control and real-time memory monitoring delivering 3.5x faster vector queries (71ms vs 247ms) and 6.1x P95 latency improvement.
- Decoupled monolith into 3 microservices for processing, search, and analytics, improving scalability by 300% and cutting deployment time by 65%.
Solo IDE
Nov 2025 — Feb 2026
AI-native desktop IDE built in Rust/Tauri 2 with multi-provider agentic AI, a typed IPC bridge, and human-in-the-loop approval workflows — shipping at ~15MB vs Electron's 300MB+.
- Architected 7-crate Rust workspace with 143 typed IPC commands spanning file system, terminal (PTY), git (31 commands via libgit2), code parsing, and AI agent orchestration.
- Integrated Claude Agent SDK, OpenAI, and Gemini via Node.js sidecar bridged to Rust over newline-delimited JSON on stdin/stdout, enabling persistent streaming sessions with interrupt, resume, and fork.
- Designed 3-layer AI permission system with PreToolUse hooks, canUseTool callbacks, and plan/accept mode enforcement — enabling safe agentic tool execution with human-in-the-loop approval.
- Auto-generated TypeScript bindings from 52+ Rust structs via ts-rs, ensuring compile-time type safety across the full IPC surface between Rust backend and React 19 frontend.
- Built extensible skills system and MCP server integration for dynamic tool registration, plus Tree-sitter code intelligence across 8 languages for symbol extraction and AI context building.
NYU Courant — Software Engineer & Graduate Assistant
Aug 2025 — Jan 2026
Built cloud-native developer tools and ML prediction servers for academic research and teaching.
- Architected cloud-native Python IDE supporting 60+ concurrent students with 99.9% uptime using AWS ECS Fargate auto-scaling and RDS PostgreSQL.
- Engineered security-hardened execution engine with thread isolation and 128MB memory limits preventing 100% of privilege escalation attacks.
- Designed real-time WebSocket architecture handling 18,000 messages/min with sub-200ms latency.
- Built FastAPI ML prediction server integrating TensorFlow for RNA splicing prediction with 10ms API response times.
Validia — Software Engineer Intern · Interview Guard
May 2025 — Jun 2025
Software engineering internship at Validia building Interview Guard, a remote cheating detection platform with computer vision and gaze tracking.
- Achieved 95%+ cheating detection accuracy by integrating PLGaze AI with on-screen coordinate transformation algorithms.
- Built web-based calibration system in React/FastAPI and 6-table MySQL schema, processing 1,000+ sessions with zero data loss.
- Cut onboarding time by 60% through automated installation scripts and ETL pipelines.
Education
New York University — MS in Computer Science
Sep 2024 — May 2026
GPA: 3.6/4
Artificial Intelligence · Operating Systems · Design and Analysis of Algorithms · Software Engineering · Internet Security & Privacy · Financial Computing · Data Science
Guru Gobind Singh Indraprastha University — B.Tech in Computer Science and Engineering
Sep 2020 — Jul 2024
GPA: 3.7/4