I am a software engineer, backend developer, and AI practitioner focused on building high-performance products and developer tools.
My work lies at the intersection of robust backend systems, scalable AI architectures, and developer-focused tooling. I enjoy designing clean API architectures, optimizing distributed databases, and deploying machine learning models in production environments. When engineering hard problems, I leverage program analysis and machine learning research to build tools that are deterministic, fast, and secure.
- Languages: Python, C++, Java, TypeScript, SQL
- Backend: FastAPI, Node.js, Express, REST & gRPC APIs
- Frontend: React, Next.js, HTML5/CSS3
- AI / ML & Research: PyTorch, TensorFlow, NetworkX, angr, Z3 Solver
- Databases & DevOps: PostgreSQL, MongoDB, Docker, Git, Linux, GitHub Actions
- AI & Product Engineering: Intelligent user applications, semantic search tools, and agentic workflows.
- Web & Backend Architecture: High-throughput web services, robust database schemas, and modular API design.
- Developer Tools & Automation: CLI utilities, custom scripting systems, and continuous integration pipelines.
- Systems & Security Research: Graph-guided program exploration, symbolic execution, and static code representation.
A hybrid program analysis framework guiding symbolic execution using graph neural networks.
- Stack:
Python•PyTorch•angr•Z3 Solver•C++ - Prioritizes high-risk execution paths identified by GNN models over control-flow graphs, mitigating state explosion.
A developer-focused browser extension utilizing LLMs for context-aware networking.
- Stack:
TypeScript•React•Chrome Extension API•OpenAI API - Automates and drafts personalized networking messages based on candidate profiles, optimizing outreach pipelines.
A full-stack SaaS platform connecting legal professionals with prospective clients.
- Stack:
Next.js•FastAPI•PostgreSQL•Docker - Features real-time appointment scheduling, secure automated invoice generation, and a messaging interface.
Active contributions to dev tools, developer utilities, and backend libraries.
- Stack:
Git•GitHub Actions•Community Tooling - Fixed performance bottlenecks, updated documentation, and optimized test suites across community repositories.
- Building and deploying production-ready AI applications and agentic workflows.
- Deepening expertise in distributed backend architectures and high-performance computing.
- Contributing to open-source developer tools and developer experience tooling.
- Researching intelligent software analysis techniques and program representation.