Feb 2025 – May 2025 · 3 mos · San Francisco, California, United States · Remote

• Optimized backend API performance by 30%, reducing latency through OOP design and minimizing external API calls (Google Places API) via effective caching strategies.
• Developed secure REST APIs using Node.js, TypeScript, and Firebase Function by integrating OAuth 2.0 and token-based authentication, significantly enhancing API security and achieving zero unauthorized breaches.
• Reduced frontend API requests by 25%, enhancing load times through reusable React components, Next.js, TypeScript, Local Storage caching, and React Context implementation.
• Developed a cross platform application using React Native projected to onboard 1,000+ initial users, expanding cross-platform accessibility and enhancing overall user experience on mobile devices.
• Implemented Docker containerization and Kubernetes orchestration, improving application scalability,
• reliability, and deployment efficiency in a microservices architecture.

Aug 2024 – Dec 2024 · 4 mos · Gainesville, Florida, United States

• Teaching Assistant for the course Cyber Physical Security Systems (CPSS)

Aug 2024 – Dec 2024 · 4 mos · Gainesville, Florida, United States · Hybrid

• Improved object detection model accuracy by 36% (from 55% to 75%) by fine-tuning YOLOv5 on a custom dataset containing over 100,000+ images (11GB), leveraging PyTorch and TensorFlow frameworks in a Linux environment.
• Successfully executed adversarial attack on 10,000+ images, exposing vulnerabilities in object detection models and enhancing overall system resilience by mitigating identified weaknesses.
• Reduced data preprocessing time by 25% by developing efficient data handling pipelines using Numpy and Pandas, optimizing large-scale dataset processing and training workflows.
• Optimized training processes, reducing training iteration time by 15%, while maintaining scalability across the dataset, improving productivity and computational resource utilization.

Jun 2022 – Jul 2022 · 1 mo · Noida, Uttar Pradesh, India · On-site

• Completed 30+ hours of intensive Flutter/Firebase workshops, demonstrating exceptional communication and logical thinking skills.
• Developed three comprehensive projects in Flutter, showcasing proficiency and innovative problem-solving abilities.
• Collaborated with a team at Gas Authority India Limited (GAIL) to design and implement a robust mobile application for employee use, successfully completing the apprenticeship within a 4-week timeframe.

Apr 2022 – Aug 2023 · 1 yr 4 mos · Noida, Uttar Pradesh, India · Remote

• Demonstrated excellent communication skills while enhancing back-end performance by 70% through meticulous refactoring of code, and SQL query optimizations.
• Optimized Node.js application and developed REST APIs, resulting in a 40% increase in processing speeds and supporting agile development cycles.
• Collaborated in agile environments to design robust backend solutions and develop comprehensive test cases, enhancing User experience by 20%.
• Assisted the frontend team with excellent communication skills in efficiently displaying over 1TB of stock data using React.js, MUI, React Bootstrap, and React-Redux.
• Utilized third-party APIs such as Zerodha API for fetching real-time data of more than 500 stocks.
• Utilized MongoDB and PostgreSQL to execute complex queries, improving data retrieval and insertion speeds by 35%.
• Maintained and managed the website on an AWS EC2 instance using the AWS SDK, reducing downtime by 25% and improving overall performance.

Sep 2021 – Nov 2021 · 2 mos · Nagpur, Maharashtra, India · Remote

• Developed Node.JS for backend development, ensuring seamless integration and efficient performance.
• Designed a robust backend from scratch for a web application similar to Stack Overflow, catering to a niche audience.
• Implemented secure user authentication using Passport.JS, effectively mitigating SQL injection attacks.
• Chose MongoDB as the NoSQL database for its high availability and easy scalability, enhancing the application's capacity to handle large volumes of data