Software Engineer
Building products that scale from zero to millions of users
I'm a software engineer who thrives at the intersection of technical complexity and product impact. Currently building the technical foundation at Spot Social as a Founding Engineer, where I architect systems that handle real-time communication, payment processing, and cloud infrastructure at scale. Previously, I built monitoring tools at Amazon/AWS that serve millions of active sessions monthly.
Bachelor of Science in Computer Science
From Amazon's scale to startup founding engineer. Each role shaped how I approach building software.
Spearheading end-to-end platform development as full-stack technical lead for a social platform deployed to both App Store and Google Play Store.
Developed AI-powered platform that transforms lectures into comprehensive study materials using cutting-edge LLM technologies.
Developed and enhanced front-end interfaces for a critical AWS monitoring product serving thousands of enterprise customers.
From production mobile apps to AI-powered platforms. Here's a selection of projects I'm proud of.
A comprehensive social platform featuring real-time WebSocket chat, video content with cold storage optimization, in-app wallet with instant withdrawals via Stripe and PayPal, and a dynamic credit scoring system. Built with React Native for mobile and Django for backend, deployed on AWS with Docker.
A web tool that allows developers to import their project's source code and presents it as an interactive file tree. Users can select specific files or directories, and the output is a consolidated text representation containing both the file tree structure and full source code of selected files—perfect for efficiently providing LLMs with precisely scoped codebase context in bulk.
A productivity tool that leverages the Jira API to display tasks in a highly customizable and visually appealing interface. Its primary feature is bulk ticket creation using JSON structures that can be generated by language models, enabling natural language ticket creation, editing, and completion workflows.
Developed collaboratively during Cornell's CS 4701 AI Practicum course (January–May 2025). Features a neural network trained to evaluate chess positions, minimax algorithm with alpha-beta pruning for move selection, and a fully interactive, visually polished frontend for playing against the AI.
Automated word game player using computer vision and dictionary algorithms
January–May 2021
Projects actively in development
Personal knowledge management system using RAG architecture with local LLMs. Stores content as vector embeddings for semantic search and context-aware AI responses—all running locally without cloud dependencies.
Production-ready Django backend template for startups. Includes payment processing with state machines, media pipeline with malware detection, double-entry ledger, and comprehensive auth systems.
December 2025 – Present
A side project exploring quantitative finance and algorithmic trading strategies. Features strategy backtesting, real-time market data integration, and paper trading capabilities.
An experimental compiler project focused on compiling high-level operations into optimized execution plans. A fun exploration of compiler design and optimization techniques.
Giving back to the developer community through open source contributions.
Contributed to a VS Code extension that provides Easy Copy-like functionality directly within the editor. Allows developers to select and export codebase context for LLMs without leaving their IDE, streamlining the workflow of providing context to AI assistants.
View on GitHubThe technologies and tools I use to bring ideas to life. Always learning, always expanding.
AI agents, RAG architectures, and building production LLM applications. Always curious about what's next in the field.
A few things about me outside of software engineering
3x3 Cube Fastest single solve: 6.9s Average of 100 solves: 11.5s
1700+ Elo rating on chess.com (Rapid) — top 1% of all players on the platform.
Learned piano independently, enjoying classical and contemporary pieces.
Strong interest in mathematics, from abstract algebra to applied statistics.
Love listening to phonk music while working. Gets me locked in.
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology. Feel free to reach out!
Based in New York City, NY
