Computer Science Spring Boot

Ameya Nitin Jajulwar

Syracuse, NY ***** — 680-***-**** — **********@*****.***

EDUCATION

Syracuse University, College of Engineering and Computer Science, NY May 2025 Master of Science in Computer Science

Nagpur University, Rajiv Gandhi College of Engineering, India June 2022 Bachelor of Engineering in Computer Science and Engineering TECHNICAL SKILLS

Languages: C, C++, Java, Python, JavaScript, Swift, TypeScript Databases: SQL, PostgreSQL, MongoDB

Web: HTML, CSS, Angular, React Native, Node.js

Tools/Frameworks: Django, Spark, Spring Boot, Jenkins, Git, GitLab Other: DevOps, CI/CD, Shell Scripting, AWS, Azure

PROFESSIONAL EXPERIENCE

Backend Developer Intern, Bazalu, Long Island, CA May 2024 – Aug 2024

• Built and maintained 5+ RESTful APIs with Node.js and Express.js serving 10K+ users.

• Designed MongoDB schemas for a 1M+ record database; improved query performance by 30%.

• Implemented JWT-based authentication, managing 5K+ secure daily requests.

• Increased code coverage to 85% via 100+ unit/integration tests using Jest and Supertest.

• Created API docs using Postman and Swagger; improved developer onboarding by 20%. Freelance Software Developer, India Jul 2022 – Jul 2023

• Developed automation workflows and pipeline tools, boosting operational efficiency by 30%.

• Delivered 5+ web apps, raising user engagement by 25%.

• Implemented CI/CD pipelines with Jenkins in Azure, enabling auto-deployments.

• Worked on SaaS-based cloud architecture integrated into production SDLC. Software Engineer Intern, Solar Industries India Ltd, India Jun 2021 – Jan 2022

• Fixed Angular/TypeScript codebase issues with senior devs; improved code maintainability.

• Reduced bug resolution time by 30% and improved documentation quality.

• Created real-time dashboards, alerts, and monitors using Microsoft Azure tools.

• Cut operational costs by 40% through codebase modularization and upgrades. PROJECTS

AI Player Gomoku Game (TensorFlow, Python) Jan 2024

• Engineered a Gomoku AI agent using Convolutional Neural Networks (CNNs) for strategic board gameplay.

• Applied one-hot encoding on game board states and optimized tensor operations using NumPy nd-arrays. iOS Finance Management App (Swift, Core Data, Placid UI/UX) Fall 2024

• Designed and developed an intuitive iOS app to track income, expenses, and budgets with local persistence using Core Data.

• Integrated dynamic data visualization with Placid UI/UX components, enhancing user interaction and financial insights.

• Implemented category-wise transaction filters, real-time balance updates, and weekly spending analytics to pro- mote financial planning.

Covid Detection Using PyTorch (React, PyTorch, Matplotlib) Summer 2022

• Trained ResNet-18 model on Kaggle X-ray data; achieved 97.99% detection accuracy on chest X-rays.

• Visualized model predictions and feature activations to support explainability using Grad-CAM and Matplotlib.

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