I'm a full-stack software engineer building secure cloud applications and practical AI automation systems. My background spans software development, data science, cloud analytics, and quantitative finance, so I care about correctness, evaluation, and systems that work beyond the demo.
- Current focus: Backend engineering, system design, testing strategy, and clean architecture
- Recent work: Multi-LLM orchestration at Wayfair and OCR + RAG document intelligence at Outamation
- Core stack: TypeScript, React, Python, FastAPI, PostgreSQL, Docker, AWS, and GitHub Actions
- Open to: Full-stack and backend software engineering roles, including AI-enabled products
- Contact: LinkedIn
A production-oriented cloud infrastructure management simulator with registration and login, expiring JWT authentication, server-enforced Admin/DevOps/User RBAC, instance lifecycle controls, monitoring, cost visibility, and PostgreSQL persistence.
Stack: React, TypeScript, FastAPI, SQLAlchemy, PostgreSQL, Docker, AWS EC2, CloudWatch, Cost Explorer, Vercel, Render, pytest, and GitHub Actions.
A secure, dependency-free lead-capture workflow delivered for a client using Cloudflare Pages and Google Apps Script. It includes Turnstile bot protection, server-side validation, private Google Sheet writes, formula-injection defense, security headers, automated contract tests, and CI.
Stack: JavaScript, Python, Cloudflare Pages, Google Apps Script, Google Sheets, pytest, and GitHub Actions.
A quantitative-finance project applying CAPM-based analysis and log returns to portfolio allocation across S&P 600 and XLK assets.
Stack: R, statistical modeling, and portfolio analytics.
- Languages: TypeScript, JavaScript, Python, SQL, Java, R, HTML/CSS
- Frontend: React, Vite, responsive web interfaces
- Backend and data: FastAPI, SQLAlchemy, PostgreSQL, REST APIs, authentication, RBAC
- Cloud and delivery: AWS, Azure, Docker, Vercel, Render, Cloudflare Pages, GitHub Actions
- AI and automation: n8n, LlamaIndex, RAG, OCR, Hugging Face, Tesseract, PaddleOCR, PyMuPDF
- Quality and security: pytest, smoke tests, contract testing, input validation, security headers, injection defense
Let's connect on LinkedIn.


