PhD CSE Student | Rackham Merit Fellow

I am a passionate, high-achieving Computer Science student in the CSE Doctoral program at the prestigious University of Michigan-Ann Arbor.

My primary research interests are Natural Language Processing, Deep Learning, and Machine Learning. I aspire to become a skilled applied AI/ML researcher to help democratize education through AI.

Previously, I received my Bachelor of Science with high honors in Computer Science from the University of Michigan-Dearborn.

I chose this field of study since I have always been mesmerized by the thought of working on cutting-edge technology that could improve our society. My goal is to be at the forefront of innovation.

I strive for greatness, and I am always in pursuit of self-improvement!

Work Experience

Software Engineer Intern @ CSAA Insurance Group, a AAA Insurer

May 2023 - May 2024

  • (Summer '23) Developed an innovative web application as my Summer 2023 capstone project, utilizing Python, HTML, Flask, and CSS. This application automated the process of reading AWS infrastructure as defined in a Terraform script and generating the equivalent AWS CDK Python code.
  • (Summer '23) Presented and performed a 15-minute live demonstration of my capstone project in front of an audience of 40 CSAA employees, explaining the features and the design choices involved in its creation.
  • (Summer '23) Gained comprehensive knowledge of the software development lifecycle and Agile methodologies.
  • (Summer '23) Learned about infrastructure as code and cloud computing.
  • (Summer '23) Earned the award for the most exciting pitch at the 2023 CSAA Insurance Group Intern Innovation Jam, signifying my ability to deliver captivating and convincing presentations.
  • (Fall '23 - Winter '24) Authored Reports analyzing Production Code
  • (Fall '23 - Winter '24) Learned the programming language GOSU and studied Guidewire Technologies
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Undergraduate Student Researcher

Sept. 2023 - Mar. 2024

Pervasive Computing Lab @ UMDearborn

Description: For the Fall 2023 and Winter 2024 semesters, I was a co-first author on the study "Generative AI Assisted Feedback Provisioning for Project-based Learning in CS Courses". This paper got accepted into the 2024 ASEE Annual Conference & Exposition.

  • Designed a custom GPT-Powered LLM agent prototype tailored specifically for generating feedback in the context of the Web Technology course using the LangChain framework, OpenAI API, and Chromadb
  • Researched various AI concepts, including Retrieval Augmented Generation, the intricacies of finetuning models on custom datasets, Generative Feedback loops, embeddings, chunking, transformers, and leveraging tools like OpenAI and LangChain for expanding model knowledge.
  • Created a dedicated software tool with a user-friendly interface, enabling users to modify, edit, and use ChatGPT to improve their finetuning dataset for their custom model.
  • Prepared and delivered an hour-long presentation for the Web Technology course, elucidating the workings of custom LLM agents, making the complex technology comprehensible for the audience.
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TUTOR II (TEMP) CECS SI Leader @ University of Michigan-Dearborn

Sept. 2021 - Sept. 2023

Description: Supplemental Instruction (SI) is a free, voluntary service that provides peer-led study sessions for specific challenging courses. SI Leaders are students who have previously earned a B or higher in their supported course. For their supported class, they will attend each lecture and take notes. Their role is to host peer-led study group sessions every week and design collaborative activities to help students understand how to study crucial lecture concepts and prepare for exams.

  • Led bi-weekly study sessions targeting classrooms of approximately 30 Computer Science students each, aiming to help them obtain strong academic skills.
  • Developed over 30 collaborative and active learning activities to elucidate intricate Computer Science concepts.
  • Leveraged my knowledge of crucial Computer Science principles—such as pointers, recursion, inheritance, and data structures—to bridge the gap between theoretical knowledge and practical understanding.
  • Delivered a comprehensive 20-minute Zoom tutorial presentation during the 2022 SI training, preparing about 20 new SI leaders for effectively handling their online sessions.
  • During the SI training, I orchestrated mock sessions for new SI leaders, offered constructive feedback, and played a significant role in honing their tutoring capabilities.
  • Assisted in writing and updating the SI website content, ensuring it effectively communicated the purpose and methodology of Supplemental Instruction to students interested in the tutoring service.


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Oakland Community College

Fall 2018 - Summer 2020

Unweighted GPA: 3.99/4.00

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University of Michigan-Dearborn

BS in Computer and Info Systems

Concentration in Computer Science

Fall 2020 - Winter 2024

Unweighted GPA: 3.96/4.00

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University of Michigan

MS/PhD in Computer Science and Engineering

Fall 2024 - Present

Research Interests: NLP, DL, and AI/ML


Curriculum Vitae