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Matthew – Python, LLM, GCP, experts in Lemon.io

Matthew

From United Statesflag

AI Engineer|Middle
MLOps Engineer|Middle

Matthew – Python, LLM, GCP

Matthew is a mid-level AI/MLOps engineer with strong Python skills and practical experience shipping LLM products, including robust context management and RAG pipelines. He combines clear product sense and ownership with structured, client-friendly communication, translating technical trade-offs into business language and collaborating smoothly with stakeholders to move projects forward.

7 years of commercial experience in
Accounting
AI
Aviation
Data analytics
Machine learning
Music and audio
Sports
Customer support software
Mobile apps
SaaS
Main technologies
Python
7 years
LLM
1 year
GCP
4 years
Typescript
2 years
Machine learning
3 years
MLOps
3 years
Additional skills
Express.js
MongoDB
JavaScript
Firebase
LangChain
PostgreSQL
RAG
AWS
Microsoft Azure
Direct hire
Possible
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Experience Highlights

Software Contractor
Sep 2025 - Oct 20251 month
Project Overview

This is an AI-driven workflow platform for accounting firms that unifies tax, audit, and client accounting services workflows into a single intelligent system.

Responsibilities:
  • Rebuilt a production document-analysis agent, significantly improving classification accuracy and reliability.
  • Simplified system architecture to reduce dependency complexity while meeting reliability targets.
  • Developed an automated regression test suite to benchmark model performance over time.
  • Delivered an AI-powered document-intake engine that streamlined onboarding for accounting firms.
Project Tech stack:
Typescript
Python
PostgreSQL
LangChain
Founding Engineer
Oct 2024 - Aug 20259 months
Project Overview

An AI-powered platform for post‑sales B2B teams that automates account research, success plans, and executive‑ready reviews so Customer Success and Account Management can manage more revenue with less manual prep. Recognized as a Fall 2025 Arizona Innovation Challenge awardee for its innovative approach and strong market potential in the AI/SaaS space.

Responsibilities:
  • Built user-centric AI workflows with a managed context layer for highly responsive, insight-driven experiences.​
  • Shipped an AI-native SaaS platform that cuts success plan and QBR deck creation time by over 90%.​
  • Acted as a sales engineer, clearly communicating product capabilities and technical differentiators.​
Project Tech stack:
Typescript
MongoDB
Express.js
REST API
LLM
Senior Data Scientist
Mar 2022 - Dec 20242 years 9 months
Project Overview

An advanced analytics and decision-support group that uses quantitative methods to improve how a major global airline plans and runs its business. It applies operations research, statistics, and optimization to tackle complex problems in areas like scheduling, revenue management, and customer experience.

Responsibilities:
  • Built a novel optimization and simulation framework that improved network reliability.
  • Owned core optimization models end to end, from constraint and algorithm design to deployment.
  • Launched schedule optimization tools delivering an estimated 30MM USD in annual network cost savings.
Project Tech stack:
Python
Machine learning
Databricks
Co-Founder
Oct 2021 - Dec 20232 years 2 months
Project Overview

A mobile-first audio platform that lets motorsports fans stream live announcer commentary directly to their phones at the track, using their own headphones or earbuds for clear, real-time sound.

Responsibilities:
  • Designed and built backend system in Google Firebase, including analytics system to ensure acceptable user experience.
  • Led product design and reliability, including audio streaming service, and managed post-sale customer support.
  • Launched audio-streaming service in short-track racing industry to 10,000 users across 300 events, resulting in a successful exit.
Project Tech stack:
Firebase
Python
JavaScript
Agora.io

Education

2019
Electrical and Computer Engineering
Bachelors

Languages

English
Advanced

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