Kavin Rajasekaran

Student, software engineer, cryptography researcher

I'm a Master's student in Electrical & Computer Engineering at UC Davis and a Computer Science & Engineering graduate from UC Merced, with a passion for developing efficient and effective solutions.

If you'd like to chat, feel free to reach out!

Experience

Lawrence Livermore National Laboratory

Data Science Intern - DSC

July 2025

Implemented a ConvLSTM U-Net in PyTorch that predicts amodal RGB content in videos behind occluded objects using only 2-D convolutions. Built a custom dataset loader that walks five MOVi-MC-AC scenes and assembles about 2,400 train and 400 validation sequences per object. Trained the model across various scenes with a mixed L1 + MSE + SSIM loss and automatic checkpoint saving. Wrote utilities to export GIF/MP4 visualizations and to report PSNR, IoU, and Dice scores for quick debugging.
Semcorel, Inc.

Software Engineer Intern

September 2024 – January 2025

I launched a retrieval-augmented system integrated into an iOS app, combining a chatbot with Python, Llama 3.2, LangChain, and SentenceTransformers to assist seniors in smartwatch troubleshooting, reducing response time to under 3 seconds.
UC Merced EECS Department

Systems & Cryptography Research

May 2024 – January 2025

Working under Dr. Qian Wang, I engineered high-performance implementations of SPHINCS+ digital signatures by parallelizing core components with AVX512, achieving a 56% runtime reduction over the AVX2 baseline. I also co-authored the peer-reviewed paper "Exploring Parallel Implementation of SPHINCS+ using Advanced Vector Extensions (AVX) Sets," accepted at ISQED 2025.
UC Merced

Electrical Engineering Undergraduate Teaching Assistant

August 2024 – December 2024

I designed course curriculum and slides for a new Electrical Engineering course, including an ML project using MNIST data. I mentored 70+ students in Electrical Engineering lectures, assisting with Python, C++, MATLAB, and open circuit design.
UC Merced

Physics Undergraduate Teaching Assistant

August 2024 – December 2024

I assisted in teaching introductory physics courses, helping students understand fundamental concepts and problem-solving techniques. I conducted office hours and review sessions to support student learning.

Education

University of California, Davis

Master of Science in Electrical & Computer Engineering

Expected: December 2026

Specializing in embedded systems and machine learning acceleration with a focus on hardware optimizations for AI applications.
University of California, Merced

Bachelor of Science in Computer Science & Engineering

Graduated: December 2024

Relevant coursework: Data Structures, Algorithm Analysis, Operating Systems, Artificial Intelligence, Statistics in R, Database Systems, Mobile Development. Active member of the Association for Computing Machinery and Google Developer Student Club.