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B.S.

University of Michigan, Ann Arbor

Computer Science

• 442 (Computer Vision)
• 445 (Machine Learning)
• 281 (Data Structures)
• 376 (Algorithm Design)
• STATS: 280 (Data Analysis)
• ROB: 101 (Linear Algebra)

ML and Data Intern

Optiwise Inc.

Developed reports and databases from customer email data, created a recommendation system, and automated growth and marketing pipelines.

• Enabled execution of efficient marketing campaigns using AWS Lambda functions, SQL, and PowerBI.
• Improved user workflow by creating a recommendation system based on GPT4o, LangChain, and RAG.
• Boosted sales productivity and cross-functional collaboration with advanced data analysis.

Open Source Contributor

Open CV

Published documentation and developed modules for object recognition and medical image processing.

• Made access to state-of-the-art libraries more accessible.

Software Engineering Intern

Harvard Medical School

Contributed to an open-source pipeline for microscopic image analysis.

• Decreased patient lab testing turnaround time by automating tasks.
• Created quantification modules for post-processed cell images.

Tailored Academic & Resource Assistant (Tara)

Developed an AI-Chatbot for University of Michigan students, providing personalized academic and career guidance.

• Developed an AI-Chatbot using advanced LLM and RAG technologies.
• Provided tailored recommendations and support by integrating real-time data on course offerings and student records.
• Doubled response quality and decreased costs by 40% using novel semantic chunking methods for efficient data retrieval.

Myoga

Built an AI-based virtual yoga instructor to make reliable access to yoga education and feedback widely accessible.

• Tuned posture detection computer vision models for the purpose of yoga pose classification and assessment.
• Publication on calculating yoga pose error based on real-time human key points location.
• Currently over 3000 users.