I am a Software Engineer specializing in robust Python backend architectures, database optimization, and intelligent LLM application design. I bridge the gap between traditional production systems and cutting-edge agentic workflows, leveraging advanced AI development environments to accelerate feature delivery without compromising code quality.
- 🛠️ High-Performance Backends: Building production-grade REST APIs using Django and DRF, with a heavy focus on query profiling, database consistency, and performance tuning.
- 🤖 Agentic AI Workflows: Orchestrating intelligent systems and streamlining development velocity using Antigravity, Cursor, and Codex for high-level logic planning and execution.
- ⚙️ Modern Dev Practices: Writing automated integration tests, containerizing environments with Docker, and setting up seamless CI/CD pipelines.
A production-ready e-commerce infrastructure optimized for scale and heavy database traffic.
- Massive Optimization: Slashed database queries from 1,002 down to 3 using strategic
select_related(),prefetch_related(), and batching primitives via Django Silk profiling. - Architecture: Implemented asynchronous order signals using Celery/Redis, secure UUID-based anonymous carts, and database transactions to safeguard stock counts.
- DevOps: Built complete Load Testing configurations with Locust, end-to-end testing via pytest, and fully containerized the pipeline using Docker.
A production-deployed multi-agent pipeline that classifies, resolves, and replies to support tickets autonomously — before a human sees them.
- Multi-Agent Pipeline: Three PgBoss queue workers (classify → auto-resolve → send email) built on Groq (llama-3.1-8b-instant) via the Vercel AI SDK. Tickets are resolved and emailed to customers with no human involvement.
- Production-Ready: Deployed on Railway with Docker, 145 tests (Vitest + Playwright), Sentry error monitoring, row-level locking for idempotency, and role-based access control.
- Google × Kaggle — 5-Day AI Agents Intensive (2026)
- AWS AI Practitioner — AWS + Udacity (2026)
- Cisco DevNet Associate (2026)
- Python & Django – CodersTrust (2025)
- Career Essentials in Software Development – Microsoft & LinkedIn (2025)
- Career Essentials in Generative AI – Microsoft & LinkedIn (2025)
- Introduction to Generative AI – Google (2025)
I'm always open to collaborating on open-source tools, agentic AI architectures, or high-performance Django systems. If you are scaling a backend, engineering intelligent workflows, or just want to talk shop about query optimization, feel free to reach out!