Senior Director of Engineering
Data science and engineering leader specializing in election forecasting, MLOps, and scalable systems.
> About Me
I'm a Senior Director of Engineering at Decision Desk HQ and the Founder of Recursia, an AI startup and consultancy firm. With expertise in data science, software engineering, and data engineering, my work focuses on building scalable systems for election forecasting, AI solutions, and data-driven decision making.
With a background in Computer Engineering from the University of Maryland, I've led teams to develop innovative solutions in price optimization, entity resolution, and MLOps platforms. My publications in the Harvard Data Science Review showcase my contributions to election forecasting methodologies.
Data Engineering
Building scalable data pipelines and entity resolution systems for PII-based big data.
Data Science
Developing election forecasting models and price optimization engines with measurable business impact.
Software Engineering
Implementing MLOps platforms and coding standards to improve team efficiency.
> Experience
Senior Director of Engineering
Leading engineering efforts for election forecasting and data analysis at Decision Desk HQ. Developing methodologies for modern American electoral dynamics.
Founder
Founded Recursia, an AI startup and consultancy firm specializing in artificial intelligence solutions and strategic consulting for businesses looking to leverage AI technologies.
Lead Data Scientist
Built and developed a data science team of 6 individuals. Architected a price optimization engine that earned the company ~$1-2M annually. Developed an imputation engine for accurately interpolating missing data across various sources. Built out the company's MLOps stack and improved workflows leading to 2x efficiency in key organizational areas.
Data Science Associate
Designed and implemented a scalable entity resolution system for PII-based big data. Ran an operations team that regularly delivered insights and analysis to clients. Helped build an in-house MLOps Platform that facilitated operations throughout the organization.
ENES100 LTF
Teaching fellow with responsibilities including maintaining supplies and condition of multiple labs, creating and showcasing practical demos, assisting students with the construction of vehicles, and helping set up the general infrastructure for class.
> Publications
Election Night Forecasting With DDHQ: A Real-Time Predictive Framework
Harvard Data Science Review · Oct 18, 2024
Read PublicationPsephological Correlated Simulation Techniques With Decision Desk HQ: For the 2022 Midterms and Beyond
Harvard Data Science Review · Sep 1, 2022
Read PublicationForecasting the 2020 U.S. Elections With Decision Desk HQ: Methodology for Modern American Electoral Dynamics
Harvard Data Science Review · Oct 27, 2020
Read PublicationAn end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Proceedings of Machine Learning Research · Jun 1, 2020
Read PublicationTCO Labs
Online platform at Johns Hopkins University and Baltimore. Offshoot of non-profit organization TCO Labs.
Visit Blog> Projects
One Big Step
A walking robot that extinguished a fire, built using 3D printed materials, unique gearing techniques, and Arduino technology. Won the A. J. Clarke School of Engineering Innovation Award.
Price Optimization Engine
Architected a price optimization engine at Dynata that earned the company approximately $1-2M annually by optimizing pricing strategies based on data-driven insights.
Entity Resolution System
Designed and implemented a scalable entity resolution system for PII-based big data at Øptimus Analytics, enabling accurate identification and matching of entities across disparate data sources.
> Education
University of Maryland
2015 - 2019
Bachelor of Engineering (B.E.), Computer Engineering
Minor in Entrepreneurship and Innovation. Languages: Java, JavaScript, C, Python, R, Command Line, HTML & CSS
General Assembly
2017
Data Science Immersive
Intensive program focused on data science methodologies, machine learning, and artificial intelligence.
> Get In Touch
I'm always open to discussing new projects, opportunities, or partnerships. Feel free to reach out through any of the channels below.