AI Forecasting Transformation ↗
27% lower forecast error across $2B+ annual trading operations.
Led the transformation from spreadsheet forecasting to operational AI. Built a team of 14; cut solution time-to-market from 12 months to 6 weeks.
Hands-on CTO · 17+ years
When AI must earn its place, critical systems can’t fail, and the business needs more than a prototype.
BANGKOK ↗ WORKING GLOBALLYChoose your field. See what I’ve delivered.
At Enel, my team’s forecasting platform generated $3.5M+ in annual savings across energy trading operations exceeding $2B a year.
Railways · Energy grids · IoT & meteringScaled the team from 3 to 14 and shortened AI solution delivery from 12 months to 6 weeks. RailTwin extends my infrastructure work into a public railway map.
Delivered RailTwin: a public, bilingual map for finding stations, exploring routes, and following estimated journey progress across Thailand’s railway network.
Network models · Asset relationships · Operational contextRoutes, stations, and timetables are accessible together. Movement is estimated or simulated, not verified live tracking.
Created geospatial analytics for energy infrastructure planning and risk assessment, bringing location into operational decisions.
GIS · Remote sensing · Geospatial pipelinesMy work includes geospatial analytics for energy infrastructure planning and risk assessment, and railway network visualization in RailTwin.
Took AIRAGIC from zero to paying clients in 8 months, reaching 7+ enterprise customers and 10,000+ monthly customer interactions.
Knowledge extraction · RAG & agents · Decision supportSupport operators in messengers get reply suggestions grounded in previous dialogues. Other delivered products include Almostmind’s ERP MVP and Thaiprog’s signal workspace.
Delivered Lamnam: online schools can manage courses and offer learning in messengers.
Online schools · Course management · Messenger learningLamnam is a platform for online schools: course management and the learning experience itself, delivered through messengers.
Turn a promising use case into a dependable product people use and a business can support.
Discuss an AI product ↗02 / TRANSFORMATIONModernize critical operations, reduce infrastructure cost, and make reliability part of the result.
Discuss a transformation ↗03 / CTO LEADERSHIPConnect investment, product priorities, and engineering ownership — from first product to the next stage.
Discuss a CTO engagement ↗Agree what improves: cost, revenue, risk, or the time it takes to deliver.
Incomplete data, failure, and human judgment belong in the design from the start.
A product is only durable when its team can operate it, explain it, and keep improving it.
My experience spans enterprise operations and founding teams. I work directly with leaders making consequential technology decisions.
Background & credentials ↗Tell me the business goal, what’s at stake, and where you’re stuck.
A few lines are enough to start.