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Machine Learning and Physics Research Intern

National Institute of Standards and Technology

Worked under Dr. William Ratcliff on machine learning methods to predict the space group(and extinction group) of crystal structures based solely on their XRD Patterns

• Large Scale training and parameter optimization of ResNet-18 models for using various types of synthetically created patterns to investigate scaling behavior, effects of label distribution, and performance on real world data
• Developed several data generation methods to create synthetic data from different types of distributions due to lack of labeled XRD patterns
• Partipated in Summer High School Internship Program(SHIP) in summer of 2024 and the paid CORE program in summer of 2025

Machine Learning Research and Engineer Intern

Khanjur R%D

R%D company that focuses on the development of Shape Memory Alloys(SMAs). Analyzed effects of various machine learning algorithms on predicting martenistic transfomration tempearture of SMAs given company data

• Wrote internal analysis paper on how well certain regression machine learning algorithms(Polynomial, L2 Regularization, Support Vector Machines) for predicting martenistic transformation temperatures of SMAs
• Did Data analysis and cleaning for company lab results
• Volunteered in company outreach initiatives to local schools by making SMA education kits for 4th graders

B.Sc Computer Science with Machine Learning Concentration and Minor in Mathematics

Carnegie Mellon University

Computer Science and Machine Learning

• Activities: CASI (Carnegie AI Safety Initiative), SCS SAC(School of CS Student Advisory Council), MMA ClubActivities and societies: CASI (Carnegie AI Safety Initiative), SCS SAC(School of CS Student Advisory Council), MMA Club
• GPA: 3.78
• Deans List: F25
• AI Courses: 11-485: Introduction to Deep Learning, Concepts in AI
• Math Courses: 15-151: Intro to Discrete/Proof Writing, 21-241: Linear Algebra(CS-Based Section), 21-266: Vector Calculus(with Linear Algebra)
• Computer Science Courses: 15-122:Principles of Imperative Computation, 15-251 Intro to Theoretical CS

High School

Wheaton High School, Silver Spring, MD, United States

General Studies

Head Instructor and Curriculum Developer

Embed-Ed

Club that I co-founded in HS that trained high school students to teach local middle schoolers programming and electronics in our underfunded part of the county

• Co-Founded and was Co-President
• Teaching 50+ Middle Schoolers at over 3+ Schools
• Developing a curriculum, lesson plan, and lesson slides for Ardunio/beginner electronics and C++ programming
• Creating a tutor training program that trained high school students to be ttuors

High School Tutor

National Honor Society

Tutored students in AP Physics, Algebra, Precalculus, Computer Science, and more!Tutored students in AP Physics, Algebra, Precalculus, Computer Science, and more!

Top 15 Advanced Teams in 2024 Regional CodeQuest

Lockheed Martin

Top 10 in 2024 Regional CyberQuest

Lockheed Martin

Prize Winner in National CB Hackathon

CollegeBoard

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