SimEng

Professional Experience

Data Scientist and ML Engineer specialising in designing, developing, and deploying RAG (Retrieval Augmented Generation) and Agentic AI systems, with over 6 years of experience in R&D Engineering with a focus on distributed systems.

Contributor to open-source quantum computing libraries (Qiskit, Amazon Braket).

Programming: Python, Golang, SQL, OpenQASM

Databases: MongoDB, PostgreSQL

Frameworks: PyTorch, PydanticAI, TensorFlow, LangChain, Scikit, NumPy, Pandas

Tools: UV, Git, CI/CD, S3, Kubernetes, Docker, Linux, Helm, Azure, GCP

Academic Background

Theoretical and Mathematical Physics, with a focus on quantum field theory and additional training in computer science and machine learning.

Awarded first-place prizes at HackPrinceton, HackCambridge, and HackHarvard.

Other Interests

Learning Common Lisp and Quantum Error Correction (QEC).

In parallel, I develop tools for athletics performance analysis, with a focus on horizontal jumps, under the guidance of David Clement Johnson, with the aim of supporting the next generation of jumpers in the UK.