I architect enterprise data platforms and agentic AI systems — not just pipelines, but self-operating reasoning machines. From Spark ETL across 30+ global markets to GenAI platforms that collapse 4-day processes to 2 minutes.
I'm a Senior Data Engineer with an MSc in Artificial Intelligence from Queen Mary University of London — a rare combination that lets me design systems where intelligence is foundational, not bolted on.
Over 5+ years, I've shipped everything from large-scale Spark ETL pipelines powering Uber's global pricing intelligence across 30+ countries, to full-stack GenAI platforms that compress schema design from four days to under two minutes. I build platforms that reason, not just pipelines that move data.
At Indium Software, I lead data platform and AI engineering — building internal AI products like Liftr AI and the AI Data Modeling Assistant while leading Uber account pipelines, Safety Ops standardization, and the CQIA annotation suite. I've led teams of 6–8 engineers, owned architecture decisions end-to-end, and driven engineering standards across multiple concurrent initiatives.
One of my most meaningful contributions has been talent development. I personally onboarded, mentored, and made project-ready 10+ freshers — engineers who came in with no industry exposure and are now independent contributors driving real value on client projects. That pipeline of capable engineers has directly contributed to Indium's ability to take on more work and expand its business with Uber.
Before returning to industry, I spent over a year as a Graduate Teaching Assistant at University College London — running graduate seminars on Software Engineering, guiding teams building production applications, and mentoring MSc students through AI and Deep Learning dissertations.
Open to Senior Data Engineer, Staff Engineer, and AI Platform Lead roles — remote or hybrid, globally. If you're building at the intersection of data scale and intelligent systems, let's talk.