Building AI Systems That Ship Fast and Scale Safely
Proven traction: 50,000+ readers • 4,000+ engineers trained • 13+ years shipping production systems • Founder of Gabbee (AI sales calling platform with live users)
I design applied AI with reliability, safety, and user trust in mind—balancing fast iteration with responsible deployment.
Comprehensive Resources for Hiring Managers
I build interactive machine learning demos into my site to teach concepts hands-on — try them in the Demos section, then dive deeper via videos, blog posts, and publications.
Demos
Interactive ML and AI prototypes you can use in the browser.
Videos
Hands-on tutorials and deep dives on AI and engineering.
Blog
Practical articles on RAG, embeddings, vector DBs, and production AI.
Publications
Docs and long-form guides used by thousands of engineers.
Projects
Open-source and production builds across AI and infra.
Testimonials
What clients and teams say about working together.
Speaking & Training Highlights
From conference keynotes to corporate workshops, I translate complex AI concepts into actionable insights for engineering teams and technical leaders.
Gabbee.io — AI BDR & Lead Qualifier
Founded and built an AI calling platform that initially served multiple use cases. By analyzing 40+ user call transcripts with LLM assistance, I discovered most customers were using Gabbee for BDR lead qualification. Pivoted positioning, landing pages, and CRM integration accordingly. The system now successfully completes ~85% of qualification calls and syncs results automatically to Zoho CRM.
- Market research, ICP definition, and messaging
- Product design, UX flows, and iteration for conversion
- Full-stack implementation with telephony and voice AI
- Deployment, analytics, monitoring, and on-call maintenance
Featured AI Projects
Real-world implementations showcasing advanced AI techniques, from neural networks and fine-tuning to production RAG systems and enterprise infrastructure.
Gabbee.io – AI BDR & Lead Qualifier
A fully self-built product: market research, UX, full-stack app, telephony/voice AI integration, deployment, analytics, and ongoing maintenance. Connects to Zoho CRM via OAuth, auto-syncs leads, configures qualification campaigns in minutes, and programmatically qualifies leads.
Technologies Used
Llama 3.1 Fine-tuning with Torchtune
Complete production workflow for fine-tuning Llama 3.1-8B-Instruct using Lightning.ai, LoRA, and Weights & Biases integration.
Technologies Used
RAG Pipeline with LangChain & Pinecone
Production-ready Retrieval Augmented Generation system with custom embeddings, vector search, and conversational memory.
Technologies Used
Showing 1-3 of 19 projects
Professional Experience
A track record of delivering scalable AI infrastructure and developer tools at top-tier companies
Developer Experience Engineer
WorkOS
2025–Present
Remote
Building developer experience across SDKs, templates, and AI integrations. Focused on AuthKit-secured MCP servers, high-quality examples, docs, and pragmatic developer tooling that accelerates adoption and success.
Developer Education
WorkOS
2024–2025
Remote
Built internal RAG pipelines and chatbots, shipped public-facing MCP servers secured with AuthKit, created starter kits, led developer tooling research, and taught internal AI workshops on neural networks, embeddings, semantic search, RAG, hallucinations, and how to learn and create content with AI.
Senior Software Engineer
Pinecone
2023–2024
Shipped production vector database features, drove AI/ML developer adoption, and authored content reaching tens of thousands.
Senior Software Engineer
Gruntwork
2021–2023
Delivered cloud infrastructure automation, open-sourced tooling, and deep technical guides used across industry.
Software Engineer
Cloudflare
2019–2021
San Francisco Bay Area
Developed distributed systems at scale, improved developer platform usability, and contributed to widely used docs.
Software Engineer
Cloudmark
2015–2017
San Francisco Bay Area
Built cross-team systems across a mixed stack; shipped Golang services, Salesforce‑integrated auth, data visualizations, and Dockerized build pipelines.
Software Engineer
BrightContext Corporation
2012–2014
Falls Church, VA
Employee #9 at real‑time stream‑processing startup; delivered Node.js SDK demos, automated testing, release QA, and developer documentation.
Independent
Ongoing
Remote
Advised startups on AI integration, growth engineering, and developer content.
Technical Expertise
I’m a rare combination of AI theory, practical experimentation, and production implementation — truly full‑stack across research, engineering, and developer education.
AI & Machine Learning
Software Engineering
Developer Education & Growth
What Clients Say
Testimonials from engineering leaders and teams I've worked with at top-tier companies.
"When I ran your software, I felt joy"







