Education

Franklin W. Olin College of Engineering

BS in Engineering: Computing
August 2022 - May 2026 (expected)

University of Cambridge

Semester Abroad - Pembroke College, Mathematics and Economics
September 2024 - December 2024

Experience

Los Alamos National Laboratory - Machine Learning Intern

Worked on High Performance Computing (HPC) and Generative AI as part of the LANL Applied ML Fellowship
June 2025 - August 2025

Alcon - Software Engineer and Product Security Intern

Designed and implemented a full-stack automated security log management framework for medical device software integrated with AWS CloudWatch and ML-based threat assessment, reducing operational costs and enhancing security compliance.
May 2024 - August 2024

Technical Strengths

Programming Languages: Advanced: Python, C++, C#, MATLAB, HTML, CSS; Intermediate: C, R, SQL, Haskell, Kotlin

AI/ML: TensorFlow, PyTorch, OpenAI Agents SDK, Jupyter, Keras, OpenCV, Scikit-learn, Seaborn

Tools: Git, .NET, Qiskit, Docker, AWS, Azure, Visual Studio, Shell Scripting, REST APIs, SLURM, Spack

Hardware: SystemVerilog, Embedded Systems (FPGA, Arduino, ESP32), LTspice, GTKWave, Oscilloscopes, SMUs

Licenses and Certifications

ChatGPT Prompt Engineering for Developers - DeepLearning.AI - June 2023

Machine Learning Specialization - Coursera (Stanford, DeepLearning.AI) - March 2023

Data Science, ML, and Python courses - Kaggle - April 2021

Entrepreneurship Foundations - LinkedIn Learning - June 2020

Programming Fundamentals - Coursera (Duke University) - March 2020