I’m an engineer-investor who pairs hands-on tech work with market analysis to make a few high-conviction, concentrated long-term bets on outliers.
My work is driven by a core thesis: the world’s two most valuable currencies are FLOPS (Intelligence) and Watts (Energy).
I have an M.S. in Computer Science, where I researched using neural networks to forecast financial market trends. I also have a B.S. in Electrical Engineering & Communication Technologies, focused on electromagnetic waves and real-world propagation models.
I study real world and physical limits of tech progress.
ATLAS: Autonomous Task-Learning Agent System (October 2024) - ATLAS autonomously learns, plans, and executes tasks across business operations while maintaining compliance and security
AI Architectures (October 2024) - comparison of AI Architectures: Large Language Models (LLMs), Liquid Neural Networks (LNNs), and Neuromorphic AI
Nuclear Energy (July 2024) - market overview of nuclear reactor technologies
Energy Is All You Need (June 2024) - thesis why we need more nuclear and solar + battery energy to power AI’s growth, guiding infrastructure investments
The Economics of Intelligence (Internal Paper, March 2024) - detailed research of chip supply chain, bottlenecks, and predicts GPU needs in near and mid-term future
Application of Neural Networks for Forecasting Financial Market Trends (Master’s Thesis, July 2021) - built recurrent neural networks (RNN) with long short-term memory (LSTM) for predicting market trends
Educational Simulation Tools for Radio Wave Propagation Models (Publication, April 2019)
ProntoPR - a team of specialized autonomous agents that can safely ship incremental features to production using GitHub pull requests, code review, automated tests, and retrieval-augmented generation (RAG) (Python)
PhotoRewind - AI tool to fix old, damaged photos with machine learning. Built with Elixir, Phoenix; runs on Raspberry Pi 5.
AI for Historical Document Analysis - natural language processing (NLP) system with long short-term memory (LSTM) to read and analyze handwritten documents from the Dubrovnik archives dating to the 13th century (Python, Tesseract OCR, OpenCV, Pandas)
Drone Swarm Simulation - simulates group drone flights with ROS (C++, ROS, Gazebo, Python)
Predict Breast Cancer - demo test for breast cancer prediction (Python, Tensorflow, Keras)
VC Liquidation Preference Simulator - web app to model VC payouts for founders and investors (JavaScript, Vite, Recharts)
GPU Memory Comparison - visualization of different types of GPU memory (JavaScript, React, Recharts)
Warp.dev Hiring Challenge - participating in Warp.dev hiring challenge
Google Coding Challenge - participating in Google Coding Challenge (Python)
Kryptos sculpture - K4 (unsolved) - attempt to solve remaining Kryptos sculpture
The Manifestos - list inspired by conversation between David Perell and Marc Andreessen, Marc concluded: ‘It’s amazing there aren’t more manifestos’.
Lift heavy, swim long, walk far, eat a lot, read more, watch tv shows and movies often.
firstnamelastname at gmail dot com