I build production AI-powered workflows and backend systems using n8n, Python, FastAPI, PostgreSQL, Docker, and REST APIs. I turn manual operations into resilient, automated systems — with hands-on experience taking workflows from architecture and API integration through self-hosted deployment, monitoring, and production support.
End-to-end recruitment platform with explainable AI scoring, deterministic skill rule matching, automated CV parsing, and recruiter review workflows. Built with FastAPI/React, PostgreSQL, Supabase Storage, and OpenAI.
Built and maintained AI-powered workflows across Sales, Operations, and Customer Service — owning systems from design through production support. Monitored automation health and iterated on reliability, cutting manual follow-up workload by 80%+.
Full-stack document intelligence workspace featuring hybrid vector search with pgvector, citation verification, asynchronous PDF indexing, and secure multi-tenant authentication.
Automated multi-channel consultation platform that manages customer intake, validates WhatsApp numbers, schedules advisor meetings, and synchronizes real-time CRM updates.
Comprehensive suite of client automation workflows built with n8n — automating daily sales performance reporting, post-service customer follow-ups, website lead intake webhooks, and WhatsApp/Email report deliveries.
Explore additional automation microservices, AI experimentation pipelines, and open-source contributions I've engineered and shipped.
Core tools & frameworks engineered into production pipelines.
Active GitHub contribution trajectory across client workflows and self-hosted AI systems.
Available for freelance AI engineering and automation projects, from building AI-powered applications and workflows from scratch to improving existing systems. I work across AI agents, API integrations, backend systems, and end-to-end automation to help businesses reduce manual work and improve how their operations run.