DLC

David Coleman

Forward Deployed Engineer

Building production AI systems—from voice agents to MCP tooling.

Portfolio focused on software development and technical delivery.

Get in touch

SF Bay Area

Technical expertise

Python
TypeScript
JavaScript
C#
SQL

Experience

Forward Deployed Engineer

Spoqen

Sep 2025 – Present

Remote

  • Engineered LLM orchestration and scraper frameworks to automate mission-critical data acquisition using Python and Playwright
  • Developed and optimized scalable automation systems achieving 99.9% operational reliability across volatile, client-facing environments
  • Refined prompt logic and implemented dynamic adaptation logic to handle complex edge cases and maintain continuity in real-time processes

Technical Consultant

Independent

May 2025 – Present

Bay Area, CA

  • Architected market-ready technical infrastructures for CEOs, transitioning from vision to production-grade deployment in ambiguous startup environments
  • Developed modular, decoupled system frameworks from the ground up to ensure high availability and long-term operational scalability
  • Owned the technical roadmap for early-stage ventures, aligning complex engineering efforts with critical business milestones and product-market fit

Software Engineer Intern

Saint Mary's College of California

February 2024 – August 2024

Moraga, CA, USA

  • Engineered a modular, node-based audio engine using Vanilla JavaScript and containerized the local development environment with Docker to ensure cross-platform deployment consistency
  • Implemented Finite State Machine (FSM) automata logic to trigger real-time audio notes based on node and edge traversal
  • Developed JSON serialization functionality enabling users to import and export complex automata configurations for local storage and rendering

AI Systems Specialist

Infinitus Systems, Inc

Dec 2023 – Jan 2024

San Francisco, CA

  • Served as a critical Human-in-the-Loop (HITL) layer for a proprietary Voice AI agent, maintaining 100% data accuracy during high-volume operational spikes
  • Identified and resolved AI hallucinations and logic drift in real-time to preserve the integrity of sensitive patient insurance data in production
  • Analyzed live AI-to-client interactions to identify failure patterns, providing technical feedback to refine agent decision-making logic

ML Research Intern

Saint Mary's College of California

May 2023 – Dec 2023

Moraga, CA

  • 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

IT Analyst

Saint Mary's College of California

September 2022 – May 2025

Moraga, CA, USA

  • Managed high-availability technical operations and network diagnostics for a distributed ecosystem of 2,000+ faculty, students, and staff
  • Spearheaded a campus-wide security infrastructure migration to Multi-Factor Authentication (MFA), achieving 100% user adoption
  • Facilitated stakeholder education and technical troubleshooting to bridge the gap between security requirements and user experience

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