6+ internships experience • Seeking ML internships and new-grad roles • Sports Fan
June 2025 – Present
Leveraged LangFuse and GitHub tools to reduce underwriting prompt creation and evaluation time by 45 seconds, improving evaluation accuracy by 40%. Managed LLM workflows with A/B testing on the Cake platform.
Aug. 2024 – Present
Founded a 5-person startup to build an NBA prediction platform with 75+ users, using a self-built open-source dataset (150+ downloads) and a Random Forest model with 74% accuracy—outperforming ESPN's predictions. Attracted interest from 3 angel investors after a regional innovation showcase. Led business strategy, data engineering, and frontend, using GitHub Actions for deployment and inline SQL to update prediction tables.
Sep. 2023 – Dec. 2024
Fine-tuned YOLO for keypoint detection and gesture recognition, optimizing TensorFlow Lite models to achieve 30% reduction in processing latency, enhancing usability in real-time classroom interactions. Developed a vision-based impromptu polling system app to improve classroom interaction between instructors and students.
June 2024 – Aug. 2024
Created a deal optimization proof of concept service to expand Model N's AI capabilities, reducing quote creation turnaround time by 30%. Developed a REST API within Flask to connect ensemble machine learning models (.pkl) hosted on EC2 instances, leveraging .csv datasets to predict optimal quote prices and consumption rates.
Nov. 2023 – Jan. 2024
Researched CNNs, RNNs, and time series algorithms for a proprietary stock detection and prediction program with a user-friendly generative AI interface. Delivered weekly presentations and a comprehensive final report with algorithm recommendations and an initial prototype.
October 2023 - May 2024
Organized biweekly workshops for students about data science skills (R, SQL, MatPlotLib), and led a team of 3 leads to startup their respective workshops
November 2023 - January 2024
Developed two chatbot workflow with Botpress and HTML to answer customer questions with GPT-turbo API, increasing user retention by 40%
September 2023 - September 2023
Demonstrated sentiment analysis and other machine learning techniques to speed up data collection and analysis for the company.
The scope of the project was quite huge, but Aditya had an unwavering determination to take the project to completion. One of the comments he received was that it usually takes a team almost a year to build what Aditya could do on his own in 2 months—which speaks volumes about his abilities, drive, and passion.”
Showcased AI/ML insights for product adoption and price recommendations to C-level executives.
Co-authored a peer-reviewed paper on generative AI capabilities in stock applications.
Created data-driven models for predictive analysis and decision-making.
Led development of an interactive game using Lua for a large-scale gaming platform.
Advised small businesses on AI integrations to drive efficiency and reduce costs.
Contributed to a popular open-source sports API repository through GitHub.