Sep 2023 – Mar 2026 · 2 yrs 6 mos · Boston, Massachusetts, United States · Hybrid

• Quotient AI has been acquired by Databricks.

Mar 2023 – Aug 2023 · 5 mos · Boston, Massachusetts, United States

• Led Copilot’s Data team, responsible for evaluation, quality metrics, and telemetry of LLM models for the entire GitHub Copilot suite, including GPT and ChatGPT-based features.
• Delivered 5+ new product launches in < 9 months by coordinating efforts across stakeholders from Engineering, Product, Revenue, and Microsoft’s Developer Division.

Jun 2021 – Mar 2023 · 1 yr 9 mos · Boston, Massachusetts, United States

• Led GitHub's Copilot and Communities Data Science team of data analysts, data scientists, and data engineers on multiple key initiatives:
• ◦◦ Overhauled product experimentation at GitHub, by leading integration with Microsoft ExP, and onboarding 3 organizations. Designed the first end-to-end analytics stack for product data, impact metrics, experimentation, and BI.
• ◦◦ Coordinated the creation of the first CI/CD library for automation of training, evaluation, and deployment of ML pipelines at GitHub
• ◦◦ Launched the new GitHub Feed, designed algorithms for gathering and ranking Feed events, resulting in significantly more events and higher user engagement. Reduced the Feed’s P99 latency by 3x through a datastore migration.
• Led reorganization of GitHub’s data org into 5 product aligned teams. Defined and executed strategies and roadmaps for each team with senior Product and Engineering leadership.
• Designed and launched company-wide career ladder and always-on hiring for data scientists and analysts. Hired 10 ICs within first 6 months.

Sep 2019 – May 2021 · 1 yr 8 mos · Cambridge, Massachusetts

• Established and led the Analytics team at Tamr, responsible for defining, implementing and promoting new machine learning and analytics products in collaboration with the Engineering, Product, Technical Sales, and Customer Success divisions, and integrating them into the technical product roadmap
• Architected and delivered technical solutions for Fortune 500 clients that showcase the impact of Tamr’s software through analytics and data visualizations

Oct 2018 – Aug 2019 · 10 mos · Boston, Massachusetts

• ◦ Led Aon’s Intellectual Property Data Science team focused on end-to-end modeling and development of data science products, including an intellectual property liability insurance product with $100M+ in capacity.
• My group transitioned to Aon Intellectual Property Solutions from Stroz Friedberg, following an acquisition.

Jul 2018 – Aug 2019 · 1 yr 1 mo · Greater Boston Area

• Led Aon’s Intellectual Property Data Science team focused on end-to-end modeling and development of data science products, including an intellectual property liability insurance product with $100M+ in capacity.

Jul 2017 – Jun 2018 · 11 mos · Greater Boston Area

• Held key roles in intellectual property litigation consulting cases related to machine learning algorithms, computer vision, large-scale data analysis, and patent/copyright infringement.

Jun 2016 – Aug 2016 · 2 mos · Greater New York City Area

• Developed stochastic optimization models for fixed income portfolio hedging and liquidity management, within the Treasury and Chief Investment Office Global Portfolio Strategy group.

Sep 2015 – Jun 2016 · 9 mos · Boston, MA

• Sourced, researched, and evaluated over 100 acquisition opportunities based on investment criteria, in-depth industry analysis, and strategic fit. Wrote Python script using a third party API to search for company contacts.

Feb 2015 – Mar 2016 · 1 yr 1 mo · Greater Boston Area

• Sourced and maintained partnerships with 30 moving companies and local real-estate companies. Was responsible for growing sales and online traffic. Developed several growth strategies and coordinated team to implement.

Sep 2013 – May 2017 · 3 yrs 8 mos · Cambridge, MA

• Modeled theoretical behavior of viral resistance to treatments using time-delayed ODEs. Solved ODEs deterministically and stochastically using Mathematica and custom Gillespie algorithms in Jupyter Notebooks. Parallelized Python scripts and used Bash to run parameter sweeps on Harvard cluster.
• Performed intensive data cleaning on FOIA requested police records from Chicago. Used Hawkes models to determine whether hypothesized patterns existed in spread of police violence.
• Performed intensive data cleaning on FOIA requested police records from Chicago. Used Hawkes models to determine whether hypothesized patterns existed in spread of police violence.

Jun 2013 – Aug 2013 · 2 mos

Jun 2011 – Feb 2012 · 8 mos

Oct 2009 – May 2013 · 3 yrs 7 mos · Princeton, NJ