// Hello World! My name is

Raj Reddy

_

Software engineer with experience in embedded systems, machine learning infrastructure, and full-stack development. I thrive on solving complex problems — from signal processing pipelines to interactive web applications.

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01 — About

About Me

Info

I'm a software engineer at L3Harris Technologies, working on embedded signal processing systems and data infrastructure. I graduated from the University of Utah in May 2025 with a B.S. in Computer Science.


My interests span embedded systems, machine learning, and full-stack development. I enjoy building things that solve real problems — whether that's optimizing signal processing pipelines, training transformer models, or crafting interactive web applications.


Outside of work, I enjoy reading, playing soccer, and practicing guitar.

Education

SchoolUniversity of Utah
LocationSalt Lake City, UT
DegreeB.S. Computer Science
GraduatedMay 2025
Coursework Computer Systems, Machine Learning, Computer Graphics, Algorithms, Software Practice I & II, Database Systems, Computer Networks, Foundations of Data Analysis, Models of Computation, Linear Algebra

Skills

Languages

Python Java C++ TypeScript C SQL

Software

Pandas NumPy React Node.js AWS Azure Docker Next.js .NET REST Django MongoDB Linux
02 — Experience

Experience

L3Harris Technologies

Associate Software Engineer

Dallas, TX June 2025 – Present
  • Developed signal processing modules in Python and C++ on embedded systems, collaborating with hardware teams to optimize performance and resource utilization.
  • Built microservices for high-frequency data ingestion, processing, and storage, leveraging Podman and serverless functions.
  • Automated CI/CD testing with pipelines, integrating static code analysis, and integration testing.

Doxy.me

Software Engineering Research Associate

Charleston, SC August 2024 – May 2025
  • Built transformer-based models with PyTorch and Llama, integrating WebRTC for real-time video streaming.
  • Deployed inference pipelines on SageMaker & Fargate, improving diagnostic accuracy with reinforcement learning.

University of Utah

Undergraduate Research Assistant – FuTURES Lab

Salt Lake City, UT May 2024 – June 2025
  • Analyzed and optimized large-scale datasets, enhancing software configuration testing with tools like gcov and CMake, increasing code coverage by 30% on real-world APIs such as Libpng and PyTorch.
  • Expanded OSS-Fuzz testing coverage, using compile-time options to improve the robustness of full-stack libraries.

HEXstream

Software Engineering Intern

Chicago, IL May 2022 – August 2022
  • Engineered backend ETL pipelines integrating data from 25+ enterprise sources into Azure SQL and Azure Data Lake.
  • Developed automated workflows for ingestion, cleansing, and aggregation, supporting distributed analytics systems.
03 — Projects

Projects

01

Course Planning & Review Platform

Multi-service data platform for student schedule matching, course overlap detection, and behavioral insights. ETL pipelines process thousands of course records with interactive dashboards and calendar visualizations. Won class best project.

Python React Tailwind ETL
02

Accountability Tracker

Full stack app for managing daily goals and recurring tasks. Features Firebase Auth, localStorage guest support, and PostgreSQL with Prisma for persistent data. Includes progress visualizations and social features.

Next.js TypeScript Firebase PostgreSQL Prisma
03

Ray Tracing Engine

Interactive WebGL-based ray tracing engine with realistic reflections, dynamic lighting, and customizable environment maps. Implemented shaders and user controls for rendering techniques and scene adjustments.

JavaScript WebGL GLSL