Portfolio · 2026
Hi, I'm Hamzeh.
Building AI
That Works.
I'm a Software Engineer at Cresset Capital in Chicago, where I work across the AI stack—from training teams and building custom solutions to vendor collaboration and compliance monitoring. I recently graduated with honors from Harvard University, where I studied Computer Science and Statistics and wrote my senior thesis on cross-market economic spillovers between the U.S. and Chinese stock markets.
Chicago, IL · 2026
01 — Experience
Oct 2025 – Present
Cresset Capital
Chicago, IL
Software Engineer
Building AI infrastructure to support business operations across the organization.
- —Designing and implementing AI infrastructure to enable widespread adoption across all business functions.
- —Developing agentic AI systems to automate internal workflows and enhance operational efficiency.
- —Building analytics and monitoring frameworks to track AI usage, performance, and compliance requirements.
- —Evaluating and assessing vendor AI solutions to inform strategic technology decisions.
May 2024 – May 2025
Comcast
Philadelphia, PA
Finance Intern
Developed internal generative AI tools.
- —Developed the first internal generative AI tool for finance teams using the Azure OpenAI API.
- —Integrated database connections and management, file search, report generation, and data analysis and visualization in the application through a Python user interface.
- —Initial testing with equity-based compensation analyses reports increased efficiency by ~93%.
Jan 2024 – Feb 2024
Propel Bio Partners
Remote
Data Science Intern
Biotech Hedge Fund ($150M AUM).
- —Built a Python class to run Monte Carlo simulations for portfolio-return and risk estimation and created a dashboard for results visualization.
- —Provided methods to quantify margin of error on long-term investment success probabilities.
02 — Education
Harvard University
A.B. in Computer Science and Statistics (Honors), Minor in Mathematics
May 2025
Senior Thesis
Cross-Market Signals: Economic Spillovers Across Markets
This thesis investigates the interconnectedness of the U.S. and Chinese stock markets, analyzing how macroeconomic factors from one country affect the equity returns of the other. Using statistical and machine learning models on the Jensen, Kelly, and Pedersen Global Factors dataset, the study finds strong spillover effects from the U.S. to China, but minimal effects in the reverse direction.
Explore Interactive Thesis03 — Featured Work
Data Science / NLP
Analyzing Similarity of Companies Using 10-K Filings
Provides methods for assessing company similarity using specified sub-sections of 10-K filings. Uses cosine similarity of BERT embeddings for similarity.
Data Science / Financial Analysis
Advanced Cryptocurrency Time Series Analysis
A comprehensive analysis of Bitcoin (BTC) and Ethereum (ETH) price movements, implementing various time series analysis techniques, machine learning models, and deep learning architectures. The project goes beyond traditional ARIMA modeling to incorporate advanced neural network architectures, feature engineering with external data sources, and pairs trading strategies.
Data Science / Financial Modeling
Predicting Stock Price Variation
This project focuses on predicting the movements of stocks over time based on various financial and economic indicators. The goal is to determine the most important financial indicators affecting stock prices and develop an accurate predictive model. The analysis includes feature importance analysis, model training with various machine learning algorithms, and performance evaluation across different market conditions.
Linear Algebra
Computer Graphics
An explanation of basic computer graphics. Includes discussions on transformations in 2D and 3D space, quaternions, perspective projections, and shadow mapping.
Computer Science x Mathematics
Understanding ChatGPT: Neural Networks from Scratch
An explanation of how ChatGPT works from the ground up. Topics include basic neural networks, recurrent neural networks, and long short-term memory networks.
Sports Analytics / Data Science
Baseball Analytics: Creating a Betting Edge
This study dives into how specific metrics influence success in baseball, analyzing hitting, pitching, and fielding metrics to understand team performance. The project combines statistical rigor with domain knowledge to provide insights that can influence roster-building decisions, tactical approaches, and broadcasting narratives. The findings bridge the gap between traditional baseball insights and modern predictive techniques.
04 — AI Consulting
Work With Me
Whether you're an individual getting started with AI or an organization building the right adoption strategy — I can help.
Personal Training
$200 / hr
Corporate Adoption
Package
Custom AI Builds
Project-Based