Work Experience
Attentive – Product – 2023 - Present
- Developed quality evals for our AI messages
- Launched Conversational AI to 500+ clients
- Implemented reinforcement learning (contextual bandits) to improve ROI on ads
- Led the development of our ML models that improved user targeting
Startup – Co-founder – 2023
- Developed AI-powered search products, including a privacy-focused RAG search tool and a tailored search solution for hardware & embedded systems engineers to efficiently retrieve circuit information
CoinList – Head of Product & Engineering – 2020 - 2022
- Led product, data, and engineering as we expanded to multiple products
- Secured $10B+ in assets on the platform and handled billions of transactions
- Revamped the hiring process and grew the engineering team from 15 to 40
- Helped fundraise in our series A which closed at $100M at a $1.5B valuation
- Grew from $5M to $150M in revenue across our 4 product lines
CoinList – Engineering Lead – 2019 - 2020
- Led the development of our digital wallet, banking, initial trading features on the platform
- Managed a team of 3 engineers
Cyence – Machine Learning Engineer – 2016 - 2019
- Developed machine learning models and data pipelines to predict cybersecurity risk
- Used NLP techniques and generative models to improve risk assessment
Consulting
Hooper - 2024
- Built deep learning video and image models to help users search over their basketball game tape
MGT Insurance - 2023 - 2024
- Built AI-powered search tools to accelerate research for insurance products
DPM - 2023 - 2024
- DPM is a prediction markets startup backed by top crypto investors
- Helped craft their initial GTM & analytics strategy
Lattice - 2022
- Lattice is a $60M seed fund that invests in crypto
- Performed technical analysis and due diligence for Lattice's venture capital investments
San Francisco Giants - 2018 - 2019
- Worked with the team to build ML models for player evaluation
- Used by the GM’s office to evaluate draft and trade decisions
Kaiser Permenante - 2019
- Improved the pharmacy’s demand forecasting using machine learning
Internships
Correlation Ventures – 2016
- Helped assess venture investment portfolio risk using Monte Carlo simulation
Metromile – 2015
- Used neural networks to predict driving routes without GPS data
- Worked with sensor data, quaternions, Kalman filters, etc. to process signals
Xplain.io - 2014
- Built Xplain’s search functionality
- Built a query similarity model to enable workload classification and visualization
- Both were ML efforts that were key to the acquisition by Cloudera
Funmobility - 2013
- Built recommendation systems for advertisements
Research
Sports Analytics with Professor Broadie – 2013 - 2015
- Worked with the PGA to create a leaderboard based on expected performance
- Taught a business school class on ranking systems in sports
Columbia Lab for Unconventional Electronics (CLUE) – 2012
- Performed material characterization for semiconductors
Patents
Synthetic Diversity Analysis with Actionable Feedback Methodologies – 2017
- Used gaussian copulas to create synthetic portfolios of companies to simulate risk for cyber insurance