Open to opportunities
MLOps Engineer
I build, deploy, and maintain production-ready machine learning systems. MLOps engineering student at Nackademin, with a background in cybersecurity and a recent internship in hierarchical time series forecasting.
Stockholm
Stockholm
Stockholm
Fairfax, VA
Featured · Sold to a client
Licensed desktop application (PySide6) that I designed, built, and sold to a company in Turkey. It automates airline ticket processing: PDF/OCR parsing, vendor-agnostic LLM field extraction, exchange-rate-based billing, and automated airline booking verification with Playwright. Ships with offline signed licensing and signed auto-updates, with update delivery and patching infrastructure on AWS.
Offline edge AI voice assistant. A Raspberry Pi Pico 2 W streams audio over Wi-Fi to a FastAPI backend on a Raspberry Pi 5 running a fully local pipeline: whisper.cpp speech-to-text, quantized Qwen 2B via llama.cpp, and Piper text-to-speech, with MLflow monitoring.
Clinical decision-support research prototype using LangChain and OpenAI, with human-in-the-loop doctor review and optional ICD-11 enrichment.
Low-cost, always-on home surveillance system on a Raspberry Pi with ML-based face recognition, real-time alerting with snapshot capture, deployed as a 24/7 Linux service with GitHub Actions CI/CD.
AI onboarding copilot using retrieval-augmented generation (RAG) with escalation levels and MLflow-based LLMOps for experiment tracking and evaluation.
IoT room-pet that turns environmental and system data into moods, expressions, and feedback. A Raspberry Pi Pico streams sensor data over MQTT to a Python backend with TimescaleDB and Grafana; optional LLM personality responses are traced with MLflow. Deployed on Azure with Docker Compose and CI/CD.
Production-like FastAPI application on AWS EC2 with Docker and PostgreSQL, automated server setup via Bash, monitoring, backups, and NGINX-based API exposure.
Nackademin
MLOps Engineering
2025 – 2027
Stockholm University
BS, Philosophy, Economics & Politics (courses completed)
2020 – 2023
Open to ML, MLOps and forecasting roles.