Executive Summary
Decade-plus track record building, scaling, and modernizing technical organizations across software engineering, data, AI, and enterprise IT. Recent shipped work includes $1.7M+ in measured 2025-2026 annualized organizational value, 7,358 operating hours recovered across six departments, and 20+ production systems shipped in a single calendar year.
I have built and led full-stack engineering teams, internal IT and red-team functions, project management and asset organizations, and a non-profit wing of a major cancer-care organization. My approach pairs clear strategic vision with deep technical credibility and disciplined change management - moving organizations from talking about transformation to actually completing it.
Selected Outcomes
Innovation Highlights
Professional Experience
- Own engineering, AI, and innovation strategy for the firm; chair of internal AI and Automation committees.
- Shipped 20+ production tools and AI systems and 4 production AI models in a single year, including the agentic ad-buying agent.
- Drove MMM research with Google Meridian, Facebook Robyn, FFT, and Bayesian causal-inference techniques.
- Outcomes: $1.7M+ in measured 2025-2026 annualized organizational value; 7,358 hours recovered; $445K opportunity-cost savings; $48K+ direct infrastructure rationalization.
- Modernized enterprise IT for 100+ employees: quarterly trainings, hardware tokens, IAM hardening across AWS, GCP, and Google Workspace.
- Built the GEO / agentic-search optimization practice that turned organic marketing into a structured pipeline source and automated RFP responses for government contracts.
- Negotiated and signed agreements with StackAdapt, DeepSync, LiveRamp, Meta, and Google; ongoing engineering liaison influencing vendor roadmaps.
- Stood up the data-lake architecture and self-serve reporting layer; retired $90K/yr in warehousing costs and unlocked downstream monetization.
- Sold $250K+ in technical consulting in a sales-engineer capacity.
- Built attention-tracking infrastructure on top of GTM and custom JS to capture mid-webinar engagement and dropoff signals; designed mid-stream interest-meter modals and heat-map-driven retargeting paths.
- Mentored junior developers and modernized sales infrastructure, lifting sales 17% in six months.
- Navigated a 13-framework, 5-language tech-debt landscape without losing delivery cadence.
- Hardened AWS ETL pipelines and Lambda aggregation; invented new digital-ad products and insights driving net-new revenue.
- Led 7 engineers across complex political data sets; coordinated 15 staff across 70 client campaigns at peak.
- Built the proprietary data and reporting system that increased revenue opportunities 120% and ad optimization yield 570%, saving millions in 2022.
- Designed the MD5 campaign-ID hashing layer; built cross-vendor harmonization tables; migrated the on-prem SQL stack to a cloud-native datalake.
- Spun up an email rental and validation system using AWS-based validation, social enrichment, and ML-driven topic propensity - foundation for a future API-rentable audience product.
- Built and maintained sites for U.S. legislators; developed custom .gov data APIs.
- Maintained CI/CD pipelines and pre-election load testing; automated repetitive campaign operations.
- Built mentoring curriculum that elevated junior dev and intern skill rapidly.
- Multi-disciplinary technical resource for e-commerce vendors, hedge funds, and government clients.
- OSINT and threat analysis for government clients; SaaS product strategy and SEO; Shopify migrations and retention strategy.
Tech Stack
Emerging / Frontier. Agentic AI systems, GEO (generative-engine optimization), MMM (Meridian, Robyn), causal/Bayesian inference, FFT, edge AI (Arduino NICLA, Raspberry Pi, Ollama thin), tokenized AI streaming.
AI Platforms. PyTorch, HuggingFace, CLIP, Ollama, Claude Enterprise, OpenAI Enterprise, AWS Bedrock, AWS SageMaker, AWS Rekognition.
Cloud. AWS (Lambda, S3, IAM, DynamoDB, Aurora, Athena, API Gateway, EC2, Bedrock, QuickSuite, CloudWatch, LightSail). GCP (Firebase, BigQuery, Kubernetes, Docker, Compute Engine, billing/IAM).
Languages & Web. Python (Torch, Pandas, NumPy, Selenium), JavaScript (Vanilla, jQuery, Vue, React), PHP (Laravel, Slim), Go, Node.js, ClojureScript, SQL/PostgreSQL/MySQL/MongoDB.
Tooling. GitHub, Jira, Monday, Workfront, Jenkins, VSCode, PowerShell, Bash, Linux (CentOS, Debian), Google Workspace Admin.
Selected Personal Builds
Education & Certifications
Interests & Research
Contact
For introductions or to discuss opportunities, reach out via LinkedIn or GitHub.