Building SaaS products, AI-powered experiences, and platform systems.
I'm a Senior Product Engineer with 10+ years building SaaS products and customer-facing experiences.
Most recently at Trumpet, I owned the CMS, Widget Library, and Rich Text Editor product areas, helping deliver a platform overhaul that reduced page creation time by 35% and support tickets by 25%.
I'm particularly interested in product engineering, AI-powered workflows, evaluation systems, and 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 engagement by 15%
- 🧩 Architected 18+ custom editor widgets and integrated 20+ plugins
- 📈 Increased frontend test coverage from 15% → 55%
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
- System Design
- AI Evaluation & Reliability
- MCP (Model Context Protocol)
- Agentic Workflows
- Product Engineering
Product Engineer focused on building reliable, user-centred products.