Open to opportunities

Dev mad

@devmad

Message

I build production AI platforms, real-time fraud systems, and scalable cloud backends.

Singapore

Message

What I'm looking for

I'm looking to lead and build production AI, LLM, MLOps, and distributed backend platforms where I can improve latency, reliability, model accuracy, and cloud efficiency while guiding cross-functional engineering delivery.

I lead AWS infrastructure and the RAG backend for Upstrima, Gain.Energy's oil-and-gas AI Agent Marketplace. I build Python services that orchestrate domain-specific LLM agents for drilling, hydraulic calculation, and geothermal workflows.

I architected Gain.Energy's migration from EC2 to ECS Fargate, reducing infrastructure costs by approximately 35% and improving deployment velocity 4x. I also lead sprint planning, daily standups, and CEO-facing reporting across multiple AI product streams.

Previously, I owned ML training and serving for Stripe Radar, processing more than 100 million fraud events daily. I moved training to MLflow and EKS, cutting retraining from seven days to under four hours, and helped reduce P1 incidents from nine to one per quarter.

Across Python, Go, AWS, GCP, and MLOps systems, I've built low-latency transaction scoring, real-time feature pipelines, fraud models, and production LLM services that improve accuracy, reliability, and cost efficiency.

Experience

Work history, roles, and key accomplishments

Senior Backend Engineer & Infrastructure Lead

Gain.Energy

Sep 2023 - Feb 2026 (2 years 5 months)

Led backend infrastructure and project management for a 10-engineer team building an AI Agent Marketplace for the oil and gas industry. Architected AWS migration to ECS Fargate, cutting infrastructure costs by ~35% and improving deployment velocity by 4x.