Building SaaS products, AI-powered experiences, and production AI systems.
Open to fully remote and remote-first roles · Max 1 day/week onsite
I'm a Senior Product Engineer with 10+ years building and scaling customer-facing B2B SaaS products across frontend architecture, backend systems, and AI.
Most recently at Trumpet, I owned the CMS, Widget Library, and real-time collaborative editor, while shipping AI-powered product experiences for enterprise customers including Stripe, HubSpot, and Gong.
I'm particularly interested in AI-native products, agentic workflows, evaluation and reliability, and product engineering, building software that solves real customer problems.
- 🚀 Reduced page creation time by 35% through a major CMS platform overhaul
- ⚡ Led migration across 50,000+ customer pods with zero data loss or regressions
- 🤖 Shipped AI-powered product features that increased buyer engagement by 22%
- 🧩 Architected 18+ custom editor widgets and integrated 20+ plugins
- 📈 Increased frontend test coverage from 15% → 55%
Multi-agent clinical decision-support prototype built with Python, FastAPI, LangGraph, and PostgreSQL.
Highlights
- Multi-agent workflow with isolated specialty advocates and a mediator
- Deterministic auditor with zero LLM calls for clinical safety checks
- Evidence-backed findings with citations and explicit handling of missing data
- Durable workflows with checkpointing, clinician sign-off, and SSE streaming
- MCP server for guideline retrieval and first-party AI tracing
- Evaluation across 9 synthetic patients, catching 26/26 planted findings
AI-powered research platform built with FastAPI, LangGraph, PostgreSQL, and pgvector.
Highlights
- Reflection-based agent workflows for iterative research and self-correction
- Multi-provider architecture supporting Anthropic, OpenAI, and Google models
- Embedding-powered retrieval using pgvector
- Model-split strategy reducing LLM costs by 75%
- Evaluation pipelines combining LLM-as-judge scoring and deterministic validation
- Production-focused reliability through caching, rate limiting, SSE streaming, and regression tracking
Full-stack SaaS platform built with React, FastAPI, PostgreSQL, and OpenAI APIs.
Highlights
- Multi-tenant architecture with subscription billing and RBAC
- AI-powered CV analysis, interview preparation, job recommendations, and skills-gap assessment
- Authentication, profile management, and role-based access control
- End-to-end SaaS workflows spanning onboarding, subscriptions, and candidate journeys
AI & LLMs
RAG · Agentic Workflows · LLM Evaluation · LLM-as-Judge · Guardrails · Multi-Provider Orchestration · MCP
Frontend
React · Next.js · TypeScript · Tailwind CSS · PlateJS · Lexical · Storybook
Backend & Data
Node.js · Python · FastAPI · PostgreSQL · MongoDB · Convex
Testing & Infrastructure
Playwright · Jest · React Testing Library · GitHub Actions · Docker · Vercel · PostHog
- AI Evaluation & Reliability
- Agentic Workflows
- MCP (Model Context Protocol)
- System Design
- Product Engineering
Product Engineer focused on building reliable, user-centred products.