Peeyush Jha

B.S. Computer Science @ UC San Diego

About Me

I’m Peeyush, a passionate Computer Science student with experience in software engineering, machine learning, and teaching. I am highly interested in exploring the financial technology sector, particularly in quant trading.

Résumé

Education

University of California San Diego (UCSD), Aug 2022 – June 2025
B.S. Computer Science, Minor in Math | GPA: 3.98/4.0

Relevant Courses: Data Structures, OOP, Web Mining, ML, etc.

Experience

Software Engineering Intern @ Addverb Technologies

June 2024 – Aug 2024 | New Delhi, India

  • Redesigned C++ modules to improve real-time robotic data processing efficiency.
  • Developed RESTful APIs and integrated AWS CloudWatch for secure data transfer.
  • Implemented CI/CD pipelines with Jenkins and Docker to automate builds & deployments.

AI/ML Intern @ Rasp Enterprises

June 2023 – Aug 2023 | Patna, India

  • Leveraged Python (Pandas, NumPy, Matplotlib) and MySQL to handle datasets of 10M+ records.
  • Fine-tuned pre-trained transformer models and utilized NLP for unstructured text analysis.
  • Explored LLM fundamentals with PyTorch/TensorFlow for predictive analytics.

Teaching Assistant @ UC San Diego, CSE Dept.

Sept 2023 – Present | San Diego, CA

  • Mentored 400+ students in Intro to Programming and Computer Architecture (Python/C).
  • Set up GitHub Classroom for version control, streamlined project submissions.
  • Worked with professors to refactor course content and introduce advanced concepts.

Projects

Mindful U

Full-stack meditation app for guided focus, relaxation, and sleep. Developed with React, Firebase, Node.js, TypeScript.

AI-Powered Trading Bot

Implemented LSTM and Transformer models for stock price forecasting and deployed via Docker on AWS, achieving a 10% improvement in predictive accuracy.

Real-time Chat App

Built a responsive chat application with vanilla JS (WebSockets) and Node.js. Supports channels, private messaging, and offline message queuing.

Movie Recommender System

Leveraged collaborative filtering and content-based ML algorithms in Python (Pandas, Scikit-learn) to recommend movies based on user ratings and preferences.

Contact

Feel free to reach me at peeyush2504@gmail.com

Or connect on LinkedIn .