Hamzeh.
My Story

Bridging AI & Reality

I am currently a Software Engineer at Cresset Capital in Chicago, where I design and build AI infrastructure that supports business operations across the entire organization. My work focuses on driving enterprise-wide AI adoption, architecting intelligent agent systems, and developing analytics frameworks for usage monitoring and compliance. My background is in Computer Science and Statistics from Harvard University, where I conducted research on cross-market economic spillovers and developed AI agents for campus data. I am passionate about building scalable, impactful solutions that bridge the gap between advanced technology and real-world application.

Hamzeh Hamdan

My Journey

The path to excellence

The Spark

My passion for AI ignited during my first semester at Harvard, when I gained early access to ChatGPT. This shifted my focus from pure mathematics to the intersection of statistics and computer science.

Impact Focused

I've built generative AI tools increasing efficiency by 93% at Comcast and developed quantum-based portfolio optimization algorithms at MIT. I bridge the gap between cutting-edge research and corporate implementation.

Giving Back

I'm dedicated to teaching, mentoring students in AI and coding. I've led workshops globally, from Harvard Summer Camps to international seminars in Turkey and the UAE.

Harvard
University

Harvard Class of 2025. Studying the mathematical foundations of intelligence and the statistical methods of discovery.

A.B. in Computer Science & Statistics
Computer Science
  • Systems Development
  • Systems Programming and Machine Organization
  • Algorithms
  • Software Engineering with Generative AI
  • Big Data
Stats & Math
  • Probability
  • Data Science
  • Statistical Inference
  • Linear Models
  • Sports Analytics
  • Graph Theory
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.

Read the Full Thesis

Beyond the Code

Leadership and impact in the Harvard community

Consulting on Business and the Environment (CBE)

Board Member

  • Led a team sourcing $550k in cases (37% increase).
  • Trained analysts on Porter's Five Forces, SWOT, and MECE recommendations.
  • Led cases in pharma and fintech concerning risk assessment and market-entry.
NATO HQ Presentation

Researcher (Undergraduate Foreign Policy Initiative)

  • Researched applications of AI and quantum computing on climate change and energy security.
  • Developed investment recommendations and presented findings directly at NATO Headquarters.
Harvard Summer Camp (HMC)

Instructor

  • Taught AI concepts and tools like Windsurf to high school students.
  • Mentored students on building their own AI-enabled projects.
MIT iQuHACK 2024

Award Winner (2nd Place in Moody’s Challenge)

  • Developed a mean-VaR portfolio optimization algorithm using simulated quantum annealing.
  • Framed as a quadratic unconstrained binary optimization problem.
VeritasGPT

Co-Lead

  • Co-led development of a Harvard campus AI agent using RAG and function calling.
  • Engineered valid retrieval pipelines for course/dining data.