Shipping AIsince before
it was cool.
20+ production AI/ML systems. Conversational coaches, personalized learning paths, skills-mapping engines, predictive analytics, agentic cybersecurity SaaS. Modern LLM stacks, RAG architectures, MLOps — and still writing code daily.
- —Owned end-to-end architecture and delivery of an agentic CyberSecurity SaaS orchestrating a synthetic workforce of autonomous agents across the SDLC.
- —Agentic System Design: multi-agent workflows (SmolAgents / CrewAI) with tool-use, persistent memory, policy guardrails — code generation, review, testing, security analysis.
- —Human-in-the-Loop Governance: evaluation harnesses, approval gates, full auditability, and safety controls for AI-generated outputs.
- —Created a proprietary Agentic AI Cybersecurity Attestation Framework integrating automated SAST and DAST — now a core product differentiator.
- —Shipped a complete AI-native SaaS from idea to production in 3 months as both product co-owner and lead engineer.
- —Scaled and led multidisciplinary AI/ML teams of up to 30 ICs — 85% first-year retention, 12 promotions to senior/staff.
- —EduTech & Learning AI: adaptive learning platforms with personalized learning paths, AI-driven roleplay coaching agents (real-time voice + LLM), automated curriculum generation.
- —Conversational AI & Copilots: enterprise copilots using LangChain, LangGraph, Semantic Kernel, Azure OpenAI, fine-tuned SLMs (Gemma, Mistral) via LoRA/QLoRA — reducing manual processing by up to 75%.
- —Predictive Analytics: ML systems for performance prediction, churn modeling, and skills mapping using Python, scikit-learn, and modern MLOps pipelines.
- —Platform & MLOps: migrated monolith to microservices on Kubernetes; CI/CD, model versioning, A/B testing, prompt registries, drift monitoring — 1M+ MAU at sub-200ms latency.
- —Governance & Ethics: AI governance frameworks covering data privacy, model explainability, guardrails, and responsible deployment.
- —Architected high-availability, multi-tenant B2B booking platform from greenfield to production, leading a team of 10 engineers.
- —Established the company's first modern DevOps practice on Kubernetes with full observability, CI/CD, and FinOps discipline.
- —Platform shipped years ago, still in active production and growing into 2026.
- —Founded and led a 7-person engineering team to ship an AdTech SaaS from scratch.
- —Architected a scalable Node.js + serverless microservices stack handling millions of daily impressions.
- —Built a sophisticated browser-based WYSIWYG editor (Figma-like) enabling marketers to programmatically generate creatives at scale.
- —Built the engineering organization from the ground up, scaling from 2 to 90+ professionals across multiple disciplines.
- —Delivered 40+ live whitelabel platforms for sportsbook and casino operators with strict regulatory and compliance requirements.
- —Led engineering through a major M&A process — technical due diligence, architectural transparency, team continuity.
Gamified training and coaching platform with real-time AI-driven interactive class simulations (roleplay coaching agents) and automated, hyper-personalized curriculum generation.
Microsoft Teams conversational agent that proactively engages employees at calibrated intervals to coach them through their daily work and guide long-term career development.
Multi-tenant platform for semantic search, automated knowledge extraction, and high-volume summarization — featuring hybrid search, RBAC governance, semantic caching, and intelligent routing.
Gamified platform for collaborative LLM red-teaming, vulnerability assessment, and ethical AI alignment — directly relevant to AI governance, explainability, and responsible deployment.
Autonomous agentic workflow system for dynamic prospect filtering, automated outreach, and intelligent data labeling via multi-agent orchestration.