Full-stack AI/ML & Data Engineer who builds and ships GenAI applications and production ML systems end-to-end, fast and cost-efficiently. Delivered multi-agent AI systems, RAG pipelines, and LLM-powered applications at Klarna (5,000+ employees), with experience across recommendation systems, NLP, and data infrastructure at Booking.com, ING, and DPG Media. Led engineering at Vamp.io (acquired by CircleCI) managing a 12-person team. Open-source contributor (llama.cpp sampler, vector search) with expertise in Python, PySpark, LangChain, Hugging Face, scikit-learn, and distributed systems.
Vector search engine built in Go for ML systems. High-throughput feature serving with low latency. 54+ GitHub stars.
Developed custom sampler in llama.cpp enabling strict constrained sampling in LLMs. Library for constrained text generation with Large Language Models for structured output using GGUF models.
Contributor to Spotify's approximate nearest neighbors library for vector search. Built custom implementations for production use cases.
Focus: Machine Learning applied to signal/image/audio processing. Developed classification models using SVMs, including full ML pipeline: data collection, feature engineering, model development, testing, and validation. Technologies: MATLAB, Python, Support Vector Machines. Worked as Research and Teaching Assistant.