Lead ML Engineer — Stealth Startup
Mar 2025 – PresentBuilding the signal processing and ML pipeline for a novel passive RF sensing system deployed on the frontline in Ukraine.
Things I've built, researched, or contributed to.
Building the signal processing and ML pipeline for a novel passive RF sensing system deployed on the frontline in Ukraine.
Built the experimentation and causal inference evaluation framework used on the world's largest online donation platform (10M+ daily users) into a highly flexible tool allowing data scientists to answer complex questions about user behavior.
Proposed, built, and tested improvements to Citadel's industry-leading Long-Short equity risk model.
Trained a generalized fraud detection model and built the pipeline that — with minor modifications — to this day processes all healthcare claims at three of the top five largest health insurers in Germany. This became QuantCo's first product suite (Themis, then Aramis).
Developed a 200+ class classifier for Ukraine's first real-time inflation tracking model.
Exploratory theoretical work on air defense. Develops a process model of interceptor group response time and a game-theoretic model of high-level AD placement — a defender with limited resources against an attacker that learns over time.
Python toolkit for simulating Time Difference of Arrival (TDOA) source localization. Given a sensor array, recovers an emitter's position from differences in signal arrival times. Implements closed-form and Levenberg-Marquardt solvers, Monte Carlo error analysis, and GDOP spatial mapping via the Fisher Information Matrix.
Simulation framework for pricing a widget on an online marketplace. Implements and evaluates random baseline, epsilon-greedy multi-armed bandit, and UCB1 against arbitrary demand functions.
Designed and analyzed an economic mechanism to disincentivize misinformation. Class project for CS136 (Economics and Computation), advised by Prof. David Parkes. Co-authored with Tejovan Parker and Jacob Cremers.
Published in Papers in Evolutionary Economic Geography (#24.19). Authors: Ulrich Schetter, Dario Diodato, Eric Protzer, Frank Neffke & Ricardo Hausmann. Acknowledged in the paper as a research assistant.
Research assistant on NLP methods applied to economics research.