Full-stack engineer who likes building things that actually work. Been coding for 10+ years, mostly in the startup/founding engineer space where you wear all the hats and ship features fast.

I build end-to-end systems—Python backends (FastAPI is my jam), React frontends, data pipelines, ML integrations, the whole stack. I've worked on everything from processing thousands of healthcare records per second to building AI pipelines for patient data, to optimizing computer vision systems that won multimillion-dollar contracts.

Currently weekend indie dev at EphyrTech and foundig engineer CibaHealth, where I get to architect systems from scratch and solve interesting problems.

• Built data pipelines handling 1000s of records/second with fraud detection acceleration
• Re-engineered billing systems that helped raise $1M from clients
• Cut ML model retraining time by 40% through better data processing
• Led a zero-downtime system migration that cut costs in half

• Golang, Swift - because there is more than just a Python
• AI agents, pipelines, RAGs - to be in sync with Tech reality
• Data engineering - building better pipelines and ETL systems

Some things I've been working on (mix of utility tools and experiments):

• edi_reader - Python library for parsing EDI files (healthcare data interchange)
• clinic-data-gen - Generate synthetic clinical data for testing
• invoice-generator - TypeScript-based invoice generation
• kafka_k8s_performance_testing - Load/stress testing for Kafka on Kubernetes
• mono2notion - Auto-sync Monobank transactions to Notion (personal finance tracking)

Most of my professional work is in private repos, but I try to open-source utilities when I can.

Backend: Python (FastAPI, Django, Flask), Golang, PostgreSQL, Redis, Elasticsearch Frontend: React, React Native, TypeScript, Tailwind Data: Pandas, Polars, Playwright/Selenium for scraping, proxy management AI/ML: LangChain, RAG patterns, scikit-learn, OpenCV, TensorFlow Infrastructure: Docker, Kubernetes, AWS (Lambda, S3, RDS, SQS, Bedrock), Kafka, CI/CD Monitoring: Grafana, Datadog, Sentry

When I'm not debugging or optimizing queries, I'm into:

• Visual art - photography, drawing
• Esotericism - exploring both Western and Eastern traditions
• Generally just being curious about how things work

If you're working on any of these, let's chat:

• Test automation architecture and processes
• API development and system design
• Data pipelines and validation
• ML/AI integrations
• Scraping and data extraction at scale

Building useful software, one commit at a time. Always open to interesting problems and collaborations.