Description

I bridge the gap between complex data and production-grade software. As a Senior Software Engineer with a dual background in Computer Science and Biochemistry, I specialize in building robust Python APIs, data pipelines, and secure Generative AI (RAG) solutions for regulated industries.

I move beyond prototypes to deliver privacy-aware, deployable systems.

My core expertise includes:

Generative AI & RAG (Retrieval-Augmented Generation)

Advanced RAG: implementation of vector databases (Qdrant) for semantic search over complex technical documents.
Reliability: designing prompt strategies to ensure citation-grounded answers and prevent hallucinations.
Privacy: experience handling sensitive data.

Back-end Development & Cloud

High-performance APIs: expert in FastAPI for scalable, type-safe REST APIs.
Cloud native: deploying containerized microservices (Docker) on Azure and GCP (Cloud Run).
CI/CD: automating testing/deployment via GitLab & GitHub Actions.

Life Sciences & Biotech integration

ELN Integrations: deep experience with Benchling APIs to automate data ingestion and parameter calculation.
Bioinformatics: automating BLAST, sequence alignment, and protein analysis pipelines.
Legacy modernization: migrating MS-Access/SQL Server data to modern SQL/Flask architectures.

💻 Tech Stack

Languages: Python (Expert), SQL.
AI/Web: FastAPI, Flask, Pydantic, Qdrant, OpenAI, Local LLMs.
DevOps: Docker, Azure, GCP, Git.

💡 Recent Projects (self initiated)

Clinical Trial Chatbot: a RAG system querying XML protocols to answer eligibility questions with citations.
RAGTrader: a modular cryptocurrency analytics platform with pluggable retrievers, CI/CD automation and cloud deployment.

Looking for a Senior Engineer who brings both technical excellence and domain expertise? Let's discuss your project.

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Native or bilingual

Workplace preferences

Can work on-site

Cambridge (up to 50km)

Self-Employed
Independent Software Engineer
DIGITAL AND IT
August 2025 - Today (10 months)
Cambridge, United Kingdom
Designing and building client-ready MVPs and internal tools using ML, RAG and modern Python back ends.
• • Developed clinical-trial and financial RAG prototypes (see selected projects) with production-ready architectures.
• • Set up CI/CD, containerisation and cloud deployment patterns suitable for
small teams and regulated environments.
• • Advised on data handling, privacy and evaluation strategies for LLM-backed tools.
Python RAG External API integration Docker Bioinformatics
Data Sciences, F-STAR Biotechnology Ltd.
Senior Software Developer
July 2022 - August 2025 (3 years and 1 month)
Cambridge, UK
Delivered software solutions for data-intensive and ML-enabled life-science projects.
• • ELN integration & LLM/RAG enablement: Integrated Benchling ELN APIs to ingest entities, compute protein parameters and SEGUIDs, and annotate sequences (e.g. BLAST). Exposed cleaned and ELN data to a secured RAG service and internal chatbot, enabling scientists to query protocols and records with LLM-backed answers and citations while respecting data governance.
• • Biological sequence database: Designed and implemented a system for storing and analysing biological sequences, with a web UI for scientist workflows and containerised background workers for sequence analysis and reporting.
• • Legacy database redesign: Re-designed an MS-Access/MS-SQL system; migrated sensitive data to MySQL and replaced the front end with a Flask application.
• • Clinical study data upload app: Built a application and and integrity.
F-STAR Biotechnology Ltd.
Software Developer R&D (Protein Sciences)
August 2019 - July 2022 (2 years and 11 months)
Cambridge, UK
• • Created custom tools to streamline protein-science workflows and support experimental decision-making.
• • Maintained and secured Azure-based applications and services used by scientists and analysts.
• • Worked closely with wet-lab researchers to gather requirements and deliver usable, pragmatic solutions.