Nicolas Lepore

Nicolas Lepore

Staff AI Engineer at Meta

Experience

Meta

Staff AI Engineer, Monetization Gen AI January 2025 to Present
  • Tech lead landing +$200M incremental revenue increase from own projects.
  • LLM Generative AI advertisement image/video and caption text creation modeling and pipeline development project.
  • Ads Image Generation orchestration platform using multiple LLM/Image-to-Image agents in our pipeline.
Senior AI Engineer, Monetization Gen AI January 2023 to December 2024
  • Tech lead landing +$150M incremental revenue increase from own projects.
  • LLM Generative AI advertisement image/video and caption text creation modeling and pipeline development project.
  • Ads Image Generation orchestration platform using multiple LLM/Image-to-Image agents in our pipeline.
  • Ads Video Generation, Expansion/Uncropping
    • Video Expansion Generation modeling for Ads using Meta's Emu and MovieGen models.
    • Created the Video/Image HDR, Video/Image Super Resolution, Video Restoration, etc. projects.
ML Research Scientist II, Ads Ranking January 2022 to December 2022
  • Achieved 0.1% Ads Score on various production ML models (0.1% Ads Score equates to +$300k/daily or +$100m/annually).
  • Worked on AutoML, EfficientNet, Meta Learning, Consideration Data, RL, Budget Pacing Alg, and Generative AI projects.
ML Research Scientist, Ads Ranking June 2021 to December 2021
  • Conducted optimization and applied research from academia/industry on the online advertising auction and its models.
  • Single-handedly started various projects, such as Distillation in Consideration Data and Online Gradient Explosion Detection.

GemScan

Founder and Sole Developer March 2022 to September 2022
  • Founded a crypto sourcing and project aggregation database selling subscriptions to institutional investors.
  • Built the platform as a sole developer.

Facebook

ML Research Scientist Intern, Ads Ranking Summer 2020
  • Worked on ads over-calibration project, reducing miscalibration by 2%.
  • Reduced daily calibration fluctuation in neural network architecture.

SimpleBet

Data/AI Engineer Intern June 2019 to August 2019
  • Utilized data science and machine learning to conduct statistical analysis and generate betting odds.
  • Created predictive models and evaluation metrics, improving odds accuracy and driving revenue.

Indus Capital Partners

Research and Trading Intern Summer 2018
  • $7 billion hedge fund focused on Asian and emerging market investments
  • Conducted financial analysis and research, informing and influencing portfolio manager decisions and trades

Gardiner & Theobald

Project Management Intern Summer 2017
  • International construction management firm based in the United Kingdom
  • Conducted cost analysis and project management, on the ground management of Essex Hotel renovation project

MakerState

Maker Fellow, Curriculum Writer Summer 2016
  • After school or summer camp STEM classes for elementary school children.
  • Taught children foundational courses, given permanent curriculum writing position.

Slogans for Charity

Founder 2015 to 2017
  • Created business that pitched slogans in return for a donation to charity.
  • Raised over a thousand dollars for local and national charities.

Education

Harvard College

Bachelor of Arts in Computer Science, Secondary in Statistics

Class of 2021, John Harvard Scholar

GPA: 3.9 Concentration, 3.88 Overall

English Honors: Highest Honors in Computer Science Concentration, Latin Honors: Cum Laude

Relevant Coursework: Machine Learning, Artificial Intelligence, Data Science, Data Structures and Algorithms, Computational Economics, Robotics, Quantitative Finance, Statistical Inference, Probability, Intensive German

Rye High School

High School Diploma

Class of 2017

GPA: 101.06

Honors: Princeton Book Award, National Honor Society Candle of Scholarship, National Merit Commended

SAT: 2360 combined score, 2310 single score

Johns Hopkins University — Engineering Innovation

Freshman Engineering Course

Summer 2016

Condensed introduction engineering course. Received an A and JHU engineering college credit.

Columbia University — High School Summer Program

Introduction to Business, Economics, and Finance

Summer 2015

Learned about macroeconomy through past and present recessions. Gained experience in accounting, forecasting, and finance.

Skills and Interests

Proficient in: Python, C, C++, Java, Javascript, OCaml, HTML/CSS, SQL, Matlab, Microsoft Excel, Bloomberg, Eze

Languages: Scholarly Latin, Basic German (Dual Citizen of Germany and the United States)

Awards: Bloomberg CodeCon 2018 Harvard Winner and Global Finalist

Leadership and Activities

HSA

Harvard Student Agencies (HSA), Strategy

Director of Strategy - 2018 to 2019
Analyst - 2017 to 2018
  • Manages consulting group for all HSA agencies, the largest student-run business in the world.
  • Training consisting of Excel, consulting case studies, and guest speakers.
  • Made recommendations based on data to generate revenue.
HFAC

Harvard Financial Analysts Club (HFAC)

Quantitative Research - 2018 to 2020
Investment Research - 2017 to 2018
  • Pitched stocks and voted on investments for the club.
  • Creates trading algorithms as a team and runs them in the real market.
  • Club manages $40k in portfolio as a teaching tool.
HCP

Harvard Undergraduate Capital Partners

Managing Director, Board Member - 2018 to 2020
  • Oversees due diligence team for venture capital clients.
  • Founding member integral to reaching venture capital and private equity audience.
  • Creates and sells publication of Harvard entrepreneurial landscape.

Projects

Harvard

Thesis with Prof. David C. Parkes Research Group
AI Pricing Collusion: Multi-Agent Reinforcement Learning Algorithms in Bertrand Competition

Author and Developer - September 2020 to March 2021

Read Thesis

  • Wrote thesis on reinforcement learning multi-agent collusion in the Bertrand competition economic environment.
  • Extended research included in IJCAI, AAAI, and NeurIPS conferences (paper, OpenReview).
  • Worked to uncover heightened collusion using deep reinforcement learning algorithms in discrete and continuous settings.
  • Mitigated collusion through supervisor mechanism and other environmental mechanisms.
  • Earned highest honors in Computer Science concentration
Thesis
Harvard SEAS

CS182 Artificial Intelligence Project
Intrinsic Curiosity Module with Proximal Policy Optimization (PPO)

Software Engineer - October to December 2020

Read Paper

  • Substituted extrinsic rewards with "intrinsic" reward based on prediction error of learning agent, using PPO RL algorithm.
  • Applied this to OpenAI Gym's MountainCarContinuous game and saw significant improvement over vanilla PPO, since the game definition encourages exploration.
CS182 Project
IACS

CS109a Data Science Project
Predicting Crime

Data Scientist - November to December 2019

Visit Website

  • Used crime incident reports, weather data, and hospital, police, and school locational data to predict type and frequency of crime.
  • Trained a random forest model to reach results.
Crime Prediction
CS136

CS136 Economics and Computation Project
Recommender System for Harvard Courses

Software Engineer - November to December 2019

Read Paper

  • Used the Harvard Q Guide with Collaborative Filtering and used Previous Coursework with Content-Based Recommendation to provide ranked course recommendations for students.
  • Created dummy dataset to work with, recommender took into account concentration requirements.
  • Obtained accurate results, hope to use it in the Course Search tool at Harvard.
CS136 Results
CS171

CS171 Visualizations Project
The Rise of Tech Giants Through the Lens of M&A

Engineer - November to December 2019

Visit Website

  • Used historical M&A data, stock price, market trends, industry trends, etc. to tell the story of the rise of big tech.
  • Created website using D3.js library, with interactive visualizations.
Visualizations
HDV

Harvard Data Ventures Project
Harvard Square Homeless Shelter

Data Scientist - September to December 2018
  • Used homeless shelter anonymized attendance data to gain insights on trends and to improve the lottery system.
  • Made significant impact on the quality of the shelter's service.
  • Continuing to find ways to improve the homeless shelter through data collection and analysis.
Homeless Shelter
March Madness

Applied Mathematics 50 Project
Applying Betting Theory to March Madness

Author - April 2018

Read Paper

  • Applied various betting techniques to determine the best strategy on betting in the NCAA Tournament.
  • Used MATLAB to simulate the strategies on 2018 March Madness data.
  • Found that Kelly Criterion betting, based on Shannon Information Theory, is most effective.
March Madness Plot
CS50

CS50 Project
Progree - Progress to Graduation

Developer - November 2017

Watch Demo

  • Created an interactive website to track progress to college graduation.
  • Displays information such as percentage of time spent in each department, average workload, rating, difficulty, etc.
  • Currently only works for Harvard classes, but can easily be implemented with other universities.
Progree
Short Story

Stories from the End of the World Project
A Short Story, The Surface

Author - October to December 2020

Read Story

  • Short story about a world underwater.
  • Won award for excellence in the course.

Hobbies

Harvard Sailing Club

Harvard Sailing Club

Founder, President - 2017 to 2021
  • Founded and grew sailing club for beginners or casual sailors.
  • Managed grants and outings for the club.
  • Personally sailed since 13 years old, have sailed the Long Island Sound and Fire Island