About

Member of Technical Staff · London, UK · Hybrid

Driving enterprise integrations and partnerships for Doubleword's high-throughput AI inference API (the Takeoff stack), helping enterprises deploy fast, secure inference inside their own environments.

Founder

Find what's next, now. A freshness-first semantic search engine for developers and AI agents, focused on real-time indexing and hybrid retrieval. I architect the full stack independently, from crawling and data infrastructure through to ranking and retrieval logic.

Stack Rust, Go, Python, AWS, Kubernetes, Terraform

• Refactored the core data processing pipeline, cutting runtime across 1.5 billion records from two months to three days.
• Designed modular crawling and ingestion infrastructure on AWS EC2/EKS, deployed via Terraform and Helm.
• Implemented query expansion and hybrid vector/keyword retrieval with controlled ranking logic and performance instrumentation.
• Built detailed analytics over complex evaluation and click-analysis datasets.
• Defined AI guardrails and deterministic filtering to remove and downweight low-quality or inappropriate content, using stop words, prompt templates, query routing, and domain/content-based ranking.
• Expanded index coverage across news, blogs, codebases, and academic papers.

Software Engineer · Remote

A 0-to-1 role building the core matching and data infrastructure that connects startups with investors. I designed reliable systems across ingestion, retrieval, ranking, and reporting. I joined as a venture capital analyst (Aug 2025) advising global startups on fundraising before moving into engineering.

Stack Go, Python, TypeScript, Postgres/DuckDB, vector DBs, Docker, Terraform, Grafana, Prometheus

• Built a production investor-startup matching engine generating roughly 90,000 matches for 80+ fundraising clients.
• Implemented hybrid retrieval pipelines combining vector search, embedding similarity, and deterministic scoring.
• Created an investor-to-investor matcher using a custom GPU-accelerated Node2Vec implementation in PyTorch Geometric.
• Built ETL workflows to scrape, clean, enrich, and validate large datasets across Parquet, Postgres, and BigQuery, with QA in LangSmith.
• Built agentic onboarding flows with tool use to write structured answers to Postgres and trigger OCR document extraction.
• Designed evaluation loops to measure ranking precision, reduce duplication, and improve match quality.
• Built robust retries, resumability, and idempotency for long-running pipelines.

Vice President, Partnerships · San Francisco Bay Area · Hybrid

A go-to-market and technical role at ChipHub, an AI-enabled SaaS platform in the NVIDIA Inception program serving the semiconductor industry. I built internal tooling and a web datasheet search feature while owning OEM partnerships.

• Built a datasheet search feature spanning millions of datasheets, enhancing an Azure-deployed document RAG pipeline in Go and Python and cutting procurement research time by roughly 70%.
• Developed internal prospecting tools for ICP discovery, replacing £3,600/year in third-party tooling.
• Pitched to and managed relationships with global OEM clients.
• Sourced and onboarded UK-based frontend developers, creating PRDs, roadmap prioritisation, and customer feedback loops.

Venture Capital Analyst · Dubai, UAE · Hybrid

Sourced and evaluated startups across MENA for Spartech Ventures Fund II, covering F&B tech, healthtech, and embedded finance. Built a process connecting the region's leading family offices with deal flow, in partnership with the Hub71 accelerator.

• Built and deployed a web-scraping and matching engine using embedding-based similarity scoring (BERT, all-MiniLM-v6) and automated ranking.
• Extended the matching engine for a Hub71 partnership, connecting 100+ family offices to startup deal flow.
• Sourced targets, wrote investment memos and one-pagers, and took companies through due diligence.
• Produced research shaping the fund's technology thesis, used directly in DDQs with a sovereign fund.

Product Lead · London, UK

Product and technical lead at an Oxford University Innovation-backed future-of-work startup building blockchain credential infrastructure on Sidetree (Microsoft x Ethereum). I progressed from Research Associate to Product Associate to Product Lead.

• Managed a junior developer building an ML platform converting unstructured text into the standardised ESCO skills taxonomy with spaCy NER and BERT.
• Built prototypes in Streamlit and React, and led ethnographic feedback sessions with students.
• Pitched the platform to university registrars across the UK.
• Represented Certie at London Tech Week 2023 and the Gibraltar Ministry of Finance.

IT Lead / Tutoring Supervisor · Nottingham, UK

• Managed tech administration across four school programmes in Nottingham, overseeing examinations and data collection used in impact assessments critical to funding bids.
• Tutored GCSE English pupils from disadvantaged backgrounds, supporting their academic progress and confidence.