Player Card
AI automation with hardware-level instincts.
I build production-oriented AI systems across documents, business workflows, and connected devices. My recent work includes RAG pipelines for clinical simulation workflows, a Gemini-powered Telegram inventory bot, and smart-meter NILM systems that connect STM32 acquisition, Python services, MQTT telemetry, and field devices.
I am strongest where software has to touch reality: noisy sensor data, private documents, legacy spreadsheets, uncertain prompts, and users who need the system to work without drama. My toolkit spans Python/FastAPI/Flask, Postgres/pgvector/FAISS, Gemini/Azure OpenAI, Docker, STM32/FreeRTOS, and practical dashboards.
Artificial Intelligence Engineer at Lean Tech; previously ML/Firmware Engineer at Solenium and Machine Learning Engineer at Magnus.
- RAG, retrieval quality, and citation-aware LLM workflows.
- Voice/document automation using Python APIs and LLMs.
- Edge ML and smart-meter telemetry with OTA safety.
- SpanishNative
- EnglishProfessional
- PortugueseProfessional
Embedded
- STM32
- FreeRTOS
- C/C++
- OTA
Backend
- Python
- FastAPI
- Flask
- Postgres
- Docker
AI
- RAG
- Gemini
- Azure OpenAI
- pgvector
- LLM Eval
Web
- Next.js
- Vue
- PyQt6
- Dashboards