Building reliable data infrastructure & applied AI systems at scale
Big Data & AI Infrastructure Engineer | AI Research Engineer
10+ years of experience designing large-scale distributed systems, cloud data pipelines, and building applied AI prototypes.
Bridging big data architecture with AI research engineering to enable the future of collaborative intelligence.
I’ve worked across consulting, enterprise, and research environments — from Deloitte and Maersk to Oticon and Deep AI Mind — leading projects in data engineering, infrastructure, and AI/ML research.
I thrive in zero-to-one environments: taking ideas from concept to working prototypes, scaling them into production, and empowering teams with reliable systems.
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Cornell Movie Dialogs LoRA (Public)
Fine-tuning conversational LLMs using the Cornell Movie Dialogs dataset with LoRA adapters. -
HeartSignal (Private)
Real-time heart sound recorder & visualizer (Python, audio DSP) for prototyping digital stethoscopes. -
Clinical LLM (Private)
Local LLM-powered assistant for diagnostic reasoning and treatment planning. -
CarND-Capstone (Public)
Autonomous vehicle system integration project (computer vision, perception, trajectory planning).
Distributed Systems & Data Engineering
Apache Spark • Ray • Beam (some) • Kafka • Airflow • Hadoop • AWS • GCP • Azure • Data Lakes • Parquet • Batch & Streaming
Programming Languages
Python • SQL • Java | Rust (learning interest)
AI/ML Research & Prototyping
CNNs • LLMs • LoRA fine-tuning • Applied AI APIs
Other Strengths
System architecture & scaling • Performance tuning • Production debugging • Research–engineering collaboration