I build backend systems that automate things people used to do by hand, from scraping and processing data at scale, to wiring LLMs into real production workflows.
What I can help with:

Backend & APIs
Designing and building REST APIs with FastAPI. clean, modular, production-ready
Microservices architecture for data-heavy or workflow-driven systems
Working with PostgreSQL/MongoDB for data storage and querying

Web Scraping & Automation
Large-scale scraping systems using Selenium/Playwright, including parallelized scraping with Docker (Selenium Grid)
Handling tricky real-world scraping problems — CAPTCHAs (OCR + vision models), rate limits, anti-bot measures
Automation pipelines that turn messy web/document data into structured, usable datasets

AI/LLM Integration
Integrating LLM APIs (Anthropic, OpenAI) into real backend workflows — not just chatbots, but structured task automation
Building MCP (Model Context Protocol) servers to expose internal tools/APIs to AI agents
Designing multi-step agentic workflows: input → tool call → AI reasoning → decision → next step
Enforcing structured JSON output from LLMs, with proper error handling and retries for production reliability

DevOps & Deployment
Dockerizing applications and services
Deploying and maintaining backend systems in production environments

Why work with me:
I've spent the last few years building systems where reliability actually matters , parts-tracking microservices for a semiconductor manufacturing client, scraping systems that run unattended across thousands of legal case records, and automation bots that monitor and alert in real time. I write clean, maintainable Python and I don't disappear once a bug shows up ,I debug it.
If you need something automated, scraped, or wired up with AI in a way that actually holds up in production, let's talk.