Open to opportunities

Matt Ren

@mattren1

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AI/ML Full-Stack engineer building LLM-powered agentic workflows and production-grade backend systems.

Estonia

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What I'm looking for

I’m looking to build and productionize LLM/AI agent systems—agentic workflows, RAG, and reliable microservices—focused on scalability, observability, and rapid iteration from research to maintainable services.

I’m an AI Full-Stack Engineer who designs and ships LLM-powered agentic workflows end to end—from multi-step planning and tool use to verification and iterative refinement. At Factory, I benchmarked and optimized Droid across Polyglot, SWE-bench, and Terminal-Bench, achieving 63% accuracy on Terminal-Bench 2.0, while building robust provider-aware model strategies with prompt/version management and guardrails.

I also focus on turning research into dependable production systems: retrieval, structured outputs, and tool orchestration patterns—productionized with careful instrumentation, telemetry-driven error analysis, and stability at scale (rate limiting, caching, retries, tracing, and safe fallbacks). Earlier, as Senior Backend Engineer (AI) at Rad AI, I modernized radiology workflows with a Python (Django) backend and React frontend, delivered event-driven microservices on AWS, and implemented RAG with internal knowledge grounding, while mentoring engineers to keep engineering standards consistent.

Experience

Work history, roles, and key accomplishments

Current

AI Full-Stack Engineer

Current

Factory 04

Apr 2023 - Present (3 years 2 months)

Designed and shipped LLM-powered agentic workflows (Droid) to complete complex developer tasks via planning, tool use, verification, and iterative refinement. Benchmarked and optimized performance to reach 63% accuracy on Terminal-Bench 2.0, and productionized evaluation, retrieval, and tool orchestration with resilient agent service operations at scale.

LLM Powered Workflows Evaluation Pipelines RAG Prompt Versioning Benchmarking AWS Serverless

Senior Backend Engineer (AI)

Rad AI

Dec 2018 - Mar 2023 (4 years 3 months)

Modernized a radiology workflow application by migrating legacy components to a maintainable Python (Django) backend and React frontend with clear domain boundaries and API contracts. Built event-driven microservices/serverless architecture on AWS and productionized a RAG layer for grounded LLM outputs, including security-by-design practices appropriate for PHI.

Django React Microservices Serverless Architecture Event Driven Systems RAG Docker Kubernetes Terraform CI CD

Software Developer

Siemens Healthineers

May 2015 - Nov 2018 (3 years 6 months)

Engineered microservices using Next.js to improve scalability and reduced API response time by 40%. Built and optimized PostgreSQL data models, implemented Elasticsearch with Redis to improve API loading time by 40%, and strengthened security with password hashing and SSL encryption to reduce potential breach risk by 40%.

Microservices Next.js Go PostgreSQL Elasticsearch Redis Docker Security (Encryption Hashed Passwords)