Computer Science Student & Software Developer

Ritesh Bhirud

Amherst, MA P: +1-781-***-**** ************@*****.*** https://www.linkedin.com/in/rbhirud2005 EDUCATION

UNIVERSITY OF MASSACHUSETTS AMHERST Amherst, MA

Master of Science in Computer Science (4+1 B.S./M.S. Program in Computer Science)Expected May 2026 Bachelor of Science in Computer Science September 2023 – May 2025 Major in Computer Science; GPA: 3.88/4.0; Dean’s List: All quarters in attendance WORK EXPERIENCE

Julia/Krastanov Lab Amherst, MA

Quantum Error Correction & GPU Acceleration Software Developer May 2024 – Present

● Developed a GPU-accelerated quantum LDPC decoder using CUDA, Julia, and C++, achieving a 12 speedup over CPU.

● Implemented high-performance sparse matrix operations using cuSPARSE and parallel computing to optimize data-intensive calculations.

● Optimized memory access patterns and caching, reducing computation time by 40% while improving GPU throughput.

● Designed API endpoints for quantum simulation workflows, ensuring scalable and efficient execution across distributed GPU nodes.

● Currently working on a GPU-accelerated QLDPC decoder to improve error correction efficiency in quantum computing. Melo/ Evo Ai Cambridge, MA

Software Engineering Intern August 2024 – November 2024

● Built a cost-efficient AI model deployment pipeline using AWS Lambda, PostgreSQL, and Kubernetes, reducing cloud infrastructure costs by 40%

● Refactored backend services using Ruby on Rails and PostgreSQL, improving query efficiency by 30% and reducing API latency by 35%

● Integrated Terraform for cloud automation, reducing manual configuration errors by 40% and accelerating deployment cycles.

iGotta Marketing LLP Pune, India

Co-Founder and Full Stack Developer April 2019 – July 2023

● Co-Founded and led India’s first data privacy and consumer empowerment company, enabling users to take control of and monetize personal data. Managed a 5-member cross-functional (product, engineering, sales, support) team and coordinated with business partners toward the successful launch.

● Led the creation of an Android mobile application utilizing Kotlin, achieving a 35% faster load time and enhancing user engagement through improved navigation features for over 10,000 active users.

● Engineered a high-performance backend infrastructure utilizing Node.js, Express, and GraphQL to develop robust APIs that processed real-time data for over 10,000 active users without latency issues. PROJECTS

AI-Powered Meta-Analysis Platform for Research Automation September 2024 - March 2025

● Developed a real-time image analysis tool using Python (Flask), PostgreSQL, and AWS Lambda to automate oral cancer detection.

● Designed a scalable full-stack architecture integrating PostgreSQL & MongoDB for optimized data handling, with a React

(TypeScript, TailwindCSS) frontend for real-time search and visualization. Deployed on AWS (EC2, S3, RDS) with Docker

& CI/CD, enabling automated updates, scalable cloud-based model inference, and efficient API performance. QUICKDIAG - Automated Oral Cancer Detection Tool August 2022

● Developed a portable and multimodal automated oral cancer screening kit using Arduino Uno R3, thermoelectric Peltier, and a custom temperature control program to perform chemical tests with 94% accuracy.

● Implemented a CNN using HRNet for image analysis, preprocessing images with ROI-based methods, and augmenting data, achieving 76.0% sensitivity, 90% specificity, and 81% precision in image-based tests. SKILLS

Skills: Python, Ruby, C#, C, C++, Julia, SQL, PostgreSQL, PHP, Javascript, Go, HTML/CSS; MATLAB, React, AngularJS, MongoDB, Express.js, Node.js, Flask, Django, Git, Docker, AWS, Google Cloud Platform, Pandas, NumPy, Matplotlib, jQuery, Bootstrap, Jira, Azure, Kubenetes, Parallel Computing (CUDA)

Contact this candidate