CV

JPMorganChase · London, UK

• ◆Built a production RAG system for Chase UK's mobile banking FAQ assistant: async Python 3.13 monorepo with Litestar / Strawberry GraphQL API, HNSWLib vector search, LLM-driven re-ranking, and Azure OpenAI answer generation over HTTP/2.
• ◆Engineered multi-layer content-safety guardrails: Presidio PII/PCI detection, LLM intent analysis, and risk evaluation; maintained >80% test coverage with pytest-asyncio, Vitest, and k6.
• ◆Delivered the React 19 / Next.js 15 frontend with Apollo GraphQL; managed AWS infrastructure via Terraform (EKS, S3) and Helm.
• ◆Optimised inference cost migrating from GPT-4.1 to GPT-5.1 without accuracy regression; first in the ML team to hold a hybrid role spanning traditional ML and full MLOps infrastructure.

Alpine F1 Team · Enstone, UK

• ◆Led pit-signal accuracy project improving signal accuracy by 91% via statistical techniques and error-function minimisation; adopted by Strategy and Race Track teams.
• ◆Conducted process mining of 3DX logs identifying 80% of process divergences across three model years; adopted by Enterprise Architecture and PLM teams.

Bosch · Cluj-Napoca, Romania

• ◆Designed an ANN-based object detection system for automotive front-facing sensors; deployed a Random Forest signal classifier to production.
• ◆Developed software architecture for an LED Matrix, integrating hardware and application layers.

UCL · London, UK

• Dissertation: Methods for applying 2D Architectural Styles to 3D Architectural Models through ML.
• Published in the Bartlett Show 2022 Book — sole student selected from the third year.

Satu Mare, Romania

Diploma de Bacalaureat: 97% Physics · 94% Mathematics · 91% Romanian Literature