Architecting Enterprise Agentic AI for defense, energy, and capital markets.

AI is a product problem, not a technology problem. Fifteen years at Huawei, MBC Group, and a NASDAQ listed company taught me that. Now I architect the systems that bring agentic AI to defense, energy, and capital markets. MIT CSAIL Research Affiliate. I vibe code.

Minas Megalokonomos
Research Affiliate • Kellis Lab
15+ YearsExecutive Leadership
40+Countries Deployed
4 ConcurrentVentures Led
$100M+Enterprise BU Scale

Selected Ventures

All launched within the last year. Defense AI, energy, R&D acceleration, and financial infrastructure. I lead each one from first architecture decision through go to market.

Agentic AI & Autonomous SystemsChief Product & Strategy Officer

Multi Domain Autonomous Detection

An agentic AI platform that fuses computer vision, thermal imaging, and RF sensing for autonomous threat detection at the edge. Air to ground, maritime, border security. I figure out what operators actually need in the field and turn that into working software, partnering with companies like Shield AI to bring autonomous detection to defense and critical infrastructure.

Computer VisionEdge AIDefense TechAutonomous Systems
Milestone: Deployed in operational environments we can't talk about here
R&D AccelerationHead of Product

The Autonomous Research Foundry

Materials discovery is still painfully slow. Whether it's batteries, polymers, coatings, or advanced composites, the traditional lab cycle takes years. I designed the platform that changes this: Large Quantitative Models (LQMs) that design experiments, paired with autonomous labs that run them around the clock with no human bottleneck. What used to take a decade now takes months. The approach is industry agnostic, and that's the point.

Deep TechLQMAutonomous LabsMaterials Science
Impact: Accelerating R&D by 10X across industries
Energy ArbitrageProduct Lead

Grid Intelligence Platform

A real time energy arbitrage engine for solar, wind, and battery storage that trades autonomously on the grid. What gives it an edge: hybrid Alpha Models that combine physics simulation with LLMs, plus live competitor modeling. No human in the loop.

Energy TechAlgorithmic TradingGrid Optimization
Strategy: Autonomous Real Time Arbitrage
Capital MarketsChief Product Officer

IPO Automation Suite

The traditional IPO book building process, from allocation and pricing to investor syndication, rebuilt as a single secure platform. I designed the architecture and lead ongoing development. Every piece of it has to hold up to institutional scrutiny, and it does.

FintechCapital MarketsEnterprise SaaS
Capacity: Supporting Live Listings
Previous Engagements
HuaweiLed product strategy within a $100M+ consumer BU across 20+ countries MBC GroupBuilt the mobile gaming division for the largest TV broadcaster in the Middle East wappierScaled an AI pricing engine for mobile publishers VeltiPart of the team behind Velti's NASDAQ IPO and FPO Boston UniversityBA in Economics & International Finance

Bridging Academia & Industry

For the past three years, I've been a Research Affiliate at MIT CSAIL (Project Mantis), working on AI systems that make sense of messy, unstructured data that no single model can handle alone. The goal is always the same: get it out of the lab and into the hands of people in government, healthcare, and finance who actually need it.