Aaron L.

Product Engineer, Applied AI

Based in London

hello@lgrv.net

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Skills

Product Engineering

  • Architects and builds high-quality agentic AI products
  • Works effectively with AI to develop robust, high-quality systems
  • Capable of solving tough product problems and perfecting user experience
  • Able to find subject matter expertise quickly and understand user mindset

Computer Programming

  • 8 years of experience using code to solve business problems
  • Proficient in Python, Go, JavaScript/TypeScript
  • Homelab sysadmin

Experience

Senior Software Engineer · Stream (formerly Wagestream)

September 2025 to Present · Workplace financial services

  • Built internal agentic AI chat platform for all business users (think Claude Cowork)
  • Created or forked custom MCP tools for all internal data and SaaS products
  • Added key features like context compaction, user memory and sandboxed code execution
  • After 1 month, over half the staff were weekly active users
  • Common to hear user feedback like "this would have taken me days, now just an afternoon"
  • Created vibe-driven slide deck creation and presentation tool
  • Now working with teams to automate workflows and build human knowledge into the platform as skills

Software Engineer · Stream (formerly Wagestream)

May 2024 to September 2025 · Workplace financial services

  • Built and maintained integrations to dozens of HR/Payroll data systems
  • Worked as assigned launch engineer providing white-glove service for strategic clients
  • Responsible for over £100k MRR / 220k users of clients launched
  • Created an integrations platform product improvement process from scratch
  • Process ensured we delivered useful features for Solutions and Delivery users

Software Engineer · Essentia Analytics

January 2022 to May 2024 · Behavioural analytics for investment professionals

  • Built new serverless, event-driven data platform on AWS
  • Ran ETL on daily trading and holdings data from major hedge funds
  • Lambda and Step Function compute for low-cost processing

Data Analyst · Marks & Spencer

July 2019 to January 2022 · Multichannel retailer

  • A/B testing lead, working on online clothing recommendations

Projects

Clipcast

Podcast server with AI advert detection and removal

Cookmarks

Uses AI to extract and organise recipes from digital cookbooks

Education

Manchester Metropolitan University

BSc, Economics, 2:1

BCS

Level 4 Diploma, Machine Learning