01 / AI judgment
AI & ML Strategy
Directing and prototyping Applied AI/Agentic workflows, model evaluations, and high-signal data products that survive real combat.
Executive Product Dossier
Abhisek Devkota Build to lead.
Fifteen years across platform architecture, commerce intelligence, operating systems, and applied ML/AI systems. The throughline is active CPTO-level execution—deciding what should exist, aligning the architectural layers, and translating complex technical depth into durable market leverage.
Lead with hands-on systems judgment, not just delegation.
Turn data systems into high-signal decisions leaders can trust.
Keep Applied AI strategy rigorously accountable to code, customers, and capital.
Operating Thesis
The work is technical. The value is judgment that survives contact with the business.
02 / Systems judgment
Systems Judgment
Pairing product vision with solid systems design—ensuring APIs, SDKs, and data platforms align with market leverage.
03 / Operating Thesis
Lead by building.
In the age of AI and Agentic systems, abstract strategy is commoditized. Durable product advantage is forged by leaders who stay hands-on—bridging deep technical architecture and prototyping with rigorous product judgment and market taste.
Experience & Execution
A record of pairing technical architecture with executive product responsibility.
- AI Strategy
- Platform Systems
- Open Source
VP of Product Management
2019-2025Directed product and AI strategy for a $50M+ ARR platform serving Amazon sellers through forecasting, pricing, and supply-chain intelligence.
Director of Product
2016-2018Shaped indoor location intelligence products for a $50M-backed enterprise retail platform by unifying physical and digital data systems.
Co-founder and Core Contributor
2009-2016Worked at the systems level across CyanogenMod (opens in new tab) , LineageOS (opens in new tab) , and related open-source mobile infrastructure.
A hands-on CPO/CPTO arc combining core system architecture and APIs with scalable product strategy.
Work inside venture-backed, growth-stage, and private-equity operating environments.
Through commerce intelligence, forecasting systems, and data products at scale.
Next step
Begin where product strategy meets technical depth.
For AI product leadership, fractional CPO work, and advisory situations where judgment matters as much as execution.