Used LLM's to process natural language to create tasks, assigning custom exp values for a gamified to-do list.

Integrated company data sources, used LLM for lead evaluation, and gmail api for end to end outreach automation.

Set up a daily script to pull newsletters, turn them into vector embeddings, and used LLM's to summarize a daily market outlook including live data from Tiingo API.

Used ML to prove that quantum random numbers can be detected from classical random numbers based on error signatures. Used Qiskit and IBM hardware to design and run quantum circuits.

Scraped Citi Bike data, cleaned and transformed it, and loaded it into a database to be used for analytics and visualization.

A fully automated daily token script that provided analtics and tracking for the 50mm token portfolio of Consensys Mesh.

Using historical data to predict the outcome of Premier League matches. Also seeing if we can cluster teams around specific playstile types.

Wrote a report to summarize the findings from our ML classification of quantum random numbers.

An overview of current research on approximating partial differential equations using quantum computers.

A pitch deck on Commons, a carbon tracking app, presented to judges from Sequoia, General Atlantic, and more. Tied for third at NYUVC.

A comprehensive analysis of Hathora's market position, business model, and investment potential.

An analysis of the Modular and Shared Living industries complete with investment guidelines

A pitch deck on Preset, an cloud layer built on top of the popular open source data visualization software, Apache Superset.

An in-depth look at AI and machine learning infrastructure, covering current trends, challenges, and future directions.

An analysis of Mobileyes business, technology, outlook and recommendations on its 2022 IPO.

A in-depth analysis of the global sports gambling and betting industry.