David Coleman

Forward Deployed Engineer

Building production AI systems—from voice agents to MCP tooling

Take a second and check out my portfolio showcasing my work in software development.

Feel free to reach out via the platforms below:

Technical Expertise

Python
TypeScript
JavaScript
C#
SQL

Experience

Sep 2025 – PresentRemote

Forward Deployed Engineer

Spoqen

  • Developed FastAPI endpoints to integrate voice agents with Playwright, utilizing WebSockets and asynchronous Python (Asyncio) to handle live web task execution
  • Optimized Playwright-based automation systems achieving 99.9% uptime, processing 400+ voice interactions monthly
  • Implemented dynamic adaptation logic resulting in a reduction of failure rate by 30%, maintaining continuity across real-time processes
May 2025 – PresentBay Area, CA

Technical Consultant

Coleman Technical Consulting

  • Architected scalable technical solutions for early-stage startups, transforming high-level product visions into production-ready MVPs with a focus on accelerated time-to-market
  • Engineered modular systems to let non-technical stakeholders configure complex product logic, reducing manual setup time and speeding feature rollout
Dec 2023 – Jan 2024San Francisco, CA

AI Systems Specialist

Infinitus Systems, Inc

  • Managed automated insurance workflows for a proprietary Voice AI agent, ensuring 100% accuracy in patient benefit verification during high-volume spikes
  • Executed real-time overrides for 100+ AI interactions to resolve hallucinations and edge cases, maintaining data integrity for mission-critical insurance calls in a regulated industry
  • Validated unstructured data extraction from live calls to ensure precision in claims-adjacent processing and provider-facing data synchronization
May 2023 – Dec 2023Moraga, CA

ML Research Intern

Saint Mary's College of California

  • Engineered a Python-based evaluation framework to test model responses against FCC datasets, providing clear insight into domain-specific context retention
  • Conducted a structured user study to quantify model response quality, presenting findings at HCI International 2024

Education

Saint Mary's College of California

Saint Mary's College of California

B.S Computer Science

Saint Mary's College of California

Saint Mary's College of California

B.S Data Science

Coursera

Coursera

Introduction to Large Language Models

FreeCode Camp

FreeCode Camp

Responsive Web Design

Anthropic

Anthropic

Introduction to Model Context Protocol