AI
- —Apply AI-native practices across the full engineering lifecycle
- —Design and deploy agentic systems that automate complex operational workflows
- —Approach AI with a scientific rigour — Master's in Data Science underpins every model decision
- —Bring a systems engineering lens to AI: reliability, observability, failure modes
Relevant experience
TradingViewJan 2025 – Present
Principal Engineer · Team Lead
- —Developing internal AI platform to accelerate product and software development lifecycle processes
- —Designed and developed 2 new products end-to-end, expanding the company's portfolio
- —Built an AI Skills Library embedding AI tooling into the SDLC; ran adoption workshops across engineering teams
- —Prototyped AI-native products to streamline roadmap prioritisation
- —Fine-tuned open-weights models for data enrichment pipelines, matching commercial LLM quality at lower cost