Austin, Texas
Resume PDF ↗I build and run data infrastructure and production ML. At Talroo, I lead seven engineers and own backend data infrastructure, ML projects, software contracts, engineering hiring (300+ interviews), and the publisher network. I work with the founder on product, strategy, sales, negotiations, and operations. Previously, I built infrastructure for distributed camera sensors.
Jul 2021–Present · Austin, TX
Talroo is an Austin-based talent platform for frontline and skilled-trades hiring, founded in 2008 as Jobs2Careers. Its pay-for-performance job discovery network helps employers hire hourly, frontline, and skilled workers at scale.
Engineering Manager 2025–present
Senior ML Engineer 2022–2025
ML Engineer 2021–2022
Own Talroo's backend data infrastructure, ML projects, software contracts, engineering hiring, and publisher network.
Lead seven data, machine learning, and backend engineers while remaining hands-on in architecture, technical review, and delivery. Have conducted more than 300 interviews across my Talroo tenure, building the hiring process and evaluation heuristics.
Led production ML across retrieval, ranking, forecasting, bidding, and applicant screening, from evaluation and experimentation through deployment and serving.
Rolled out Fireflies transcription and built an AI knowledge base to preserve business conversations as a reusable data asset, designed to become more valuable as models improve.
Connected customers, sales, and customer support directly with engineers through automated daily summaries of raw transcripts. Broke down communication silos and created a fast feedback loop so engineers could hear customer feedback and see the impact of their work.
Work with the founder on product, strategy, sales, negotiations, and operations.
Negotiated with our largest customer, doubling their spend with us. Built the technical-commercial case and supported execution after signing. Negotiated better terms with our ATS-integration provider.
Talroo founder and CEO Bruce Ge has mentored me over several years through structured training and ongoing discussions about operations, product, and engineering.
High Output Management by Andrew Grove has shaped how I think about management: my contribution is the output of my team. I focus my time where it can increase that output, especially on hiring, training, and removing constraints on the critical path. I give engineers a clear direction and show how their work connects to business and shareholder value, then give them the autonomy to decide how to deliver.
I improved communication across the team and reduced meetings that fragmented the workday. I removed unnecessary meetings, especially those in the middle of the day, and protected longer stretches of uninterrupted focus. I want communication to create clarity without becoming overhead, so engineers have the context to stay aligned and the space to work through difficult problems.
Engineers on my team have often been promoted faster than the company's typical two-year timeline. I give people meaningful responsibility, support their growth, and make sure their work is visible.
7 Powers influences how I approach products. I look for opportunities to build process power and data flywheels: ways for what we learn through operating a product to improve it over time. I want that accumulated knowledge to create a lasting advantage.
More notes on engineering and businessBefore Talroo
ML Engineer
Built backend and data pipelines for distributed retail camera sensors, collecting telemetry and camera-derived time series for heat maps, demographic estimates, and operational analytics.
Built the control plane for remote software updates, device monitoring, and automated processing.
Implemented Bayesian computer-vision research in a production anomaly-detection product using synthetic data.
ML Intern
Refactored web-scraping and enrichment pipelines, improving responsiveness and enabling SQL queries.
Owned two production models for company payroll estimation and resume valuation, sold for approximately $150K in combined annual revenue.
Summer Research Intern
Wrote a Haskell transpiler from Quipper to aQasm for the Atos Quantum Learning Machine, a quantum-computing emulator.
Officer Cadet
Completed officer training at EOGN, then shadowed the company commander in Ajaccio, Corsica.
MS, Data Science, Statistics and Machine Learning
MS, Computer Science and Applied Mathematics · France's #1 engineering school
Negotiation and Leadership
Accounting and Finance for the Non-Financial Executive
Areas of focus