Summary
Overview
Work History
Education
Skills
Websites
Projects
Timeline
Generic

UJJWALA VUNGARALA

Fort Collins,CO

Summary

Graduate student in Computer Science with expertise in building machine learning systems and optimizing data-driven software. Proficient in Python, C++, and Docker, with hands-on experience in cloud data pipelines and containerized environments. Demonstrated success in analyzing large datasets and enhancing AI model performance in telecommunications.

Overview

2
2
years of professional experience

Work History

Head of Electrical Department

Team Vidyut – Formula Student Project
03.2021 - 08.2023
  • Led development of embedded control systems for Formula-style vehicle electronics.
  • Diagnosed and resolved hardware–software integration issues, enhancing system stability and performance.
  • Coordinated cross-functional engineering teams, ensuring seamless collaboration and reliable system performance.

Machine Learning & DevOps Intern

Gahan AI Pvt. Ltd.
08.2022 - 06.2023
  • Optimized model performance and improved inference throughput by 25%.
  • Developed machine learning pipelines for efficient data preprocessing and streamlined model deployment.
  • Managed and processed large datasets used for training predictive machine learning models.
  • Built containerized development environments using Docker to facilitate scalable experimentation.
  • Collaborated with engineering teams to resolve deployment issues and ensure system reliability.

System Engineering Intern

Space Technology and Aeronautical Rocketry (STAR)
07.2021 - 08.2021
  • Developed Python-based simulation models to enhance accuracy of propulsion system analysis.
  • Conducted performance analysis and debugging to ensure reliability of simulation outputs.

Education

Master of Science - Computer Science

Colorado State University
Fort Collins, CO
05-2026

Bachelor of Technology - Electrical Engineering

OP Jindal University
India

Skills

  • Deep Learning
  • CNNs
  • Model optimization
  • Anomaly detection
  • Python
  • PyTorch
  • TensorFlow
  • ONNX
  • SQL
  • Distributed computing
  • Kubernetes environments
  • Data pipelines
  • Linux (Ubuntu)
  • Docker
  • Git
  • C
  • Java
  • TCP/IP protocols
  • Communication systems
  • Infrastructure management
  • NVIDIA Jetson
  • Raspberry Pi

Projects

  • AI-Driven Chaos Engineering for Distributed Systems, Developed reinforcement learning framework using Proximal Policy Optimization (PPO) to simulate system faults in Kubernetes clusters. Evaluated distributed system resilience and recovery strategies under simulated failures. Analyzed infrastructure performance to identify system reliability improvements.
  • Embedded ML System for Autonomous Vehicles, Developed perception pipeline using deep learning models for lane and obstacle detection. Optimized model inference through pruning and quantization techniques. Deployed inference pipelines on NVIDIA Jetson edge computing platform achieving real-time performance.
  • GPU-Accelerated Matrix Multiplication (CUDA), Implemented parallel matrix multiplication using CUDA C++. Optimized memory access using shared memory to improve compute efficiency. Achieved 10–15× performance improvement compared to CPU implementation.

Timeline

Machine Learning & DevOps Intern

Gahan AI Pvt. Ltd.
08.2022 - 06.2023

System Engineering Intern

Space Technology and Aeronautical Rocketry (STAR)
07.2021 - 08.2021

Head of Electrical Department

Team Vidyut – Formula Student Project
03.2021 - 08.2023

Master of Science - Computer Science

Colorado State University

Bachelor of Technology - Electrical Engineering

OP Jindal University
UJJWALA VUNGARALA