Saideep Samineni

Boston MA 857-***-**** ad2qt9@r.postjobfree.com LinkedIn GitHub

EDUCATION

Northeastern University, Boston, MA, USA Jan 2023 – Expected : Dec 2024 Khoury College of Computer Sciences

Candidate for a Master of Science in Computer Science (GPA: 3.67/4.0) Related Courses: Algorithms, Web Development, Program Design Paradigm, Scalable Distribution Systems. Vellore Institute of Technology, India Aug 2017 – Sep 2022 Master of Technology in Integrated Software Engineering (GPA: 9.34/10) Related Courses: Web Development, Cloud Computing, Software Configuration Management, Mobile Application Development, Operating Systems, Data Analytics and Artificial Intelligence. TECHNICAL SKILLS

Programming/Web Technologies: JavaScript, Python, Java, HTML, CSS, JSP Framework/API: React, Redux, RESTful APIs, Express, Node.js, Angular, JUnit, Material UI, Mockito, GraphQL, Spring, Hibernate, JDBC. Database/Cloud: PostgreSQL, MongoDB, SQL, MySQL, Redis, AWS EC2, Docker, CloudWatch, S3 Version Control/Tools: Git, Tomcat, Postman, Maven, Selenium, TestNG, SoapUI Operating Systems: Linux, Unix, Windows

WORK EXPERIENCE

Backend Engineer - Intern, SHIASH Chennai, India Project: E-commerce Website (Spring Boot, AWS, PostgreSQL, Redis, Docker, WebSocket) Oct 2021 – Mar 2022

• Contributed to the design of a scalable e-commerce platform, enhancing performance with microservices, PostgreSQL optimization, Redis caching, and high-throughput API development for improved deployment efficiency and transactional robustness.

• Implemented a CI/CD pipeline, utilizing Docker for containerization and Jenkins for automation, which cut deployment times by 84% and significantly increased the frequency of new releases.

• Optimized AWS infrastructure for high availability, implementing auto-scaling groups and load balancers to efficiently manage resource scaling, achieving 99.7% uptime and maintaining sub-second response times during traffic surges.

• Implemented and maintained comprehensive JUnit test suites across microservices to ensure code quality and stability. This resulted in a 93% success rate in first-time deployments and minimized post-deployment issues. Full Stack Engineer – Remote Intern, Sri Sigma Technologies Toronto, Canada Project: EdTech Website (React, Node.js, AWS, RESTful APIs, Jest, TypeScript) Jan 2021 – Aug 2021

• Contributed significantly to the EdTech website architecture and designed RESTful APIs that improved data exchange efficiency by 40% and bolstered system performance and reliability.

• Developed client-side interfaces using React, creating an interactive and responsive user experience. Combined with TypeScript for static typing, this approach ensured code maintainability and reduced errors by 25%.

• Implemented event-driven backend services in Node.js and rigorously tested using Jest to maintain code quality, functionality and deployed on AWS, capitalizing on the cloud's scalable and resilient infrastructure.

• Enhanced API endpoint performance by employing optimization techniques, reducing latency and improving data handling efficiency. This effort significantly improved page loading times, cutting them by 54%, thereby enriching the user experience across various web browsers.

ACADEMIC PROJECTS

Project: Caption Craft (MERN, Web Performance Optimization, Machine Learning (GANs), Jest, TypeScript) Aug 2023 – Nov 2023

• Engineered "Caption Craft" using the MERN stack to build a robust full-stack application that harmonizes AI-powered art generation with user interaction and achieved a 25% improvement in server response times.

• Managed state with Redux and established real-time, bi-directional communication using Socket.io, enhancing user experience and reducing server load by 38%.

• Implemented Generative Adversarial Networks (GANs) to create a unique feature for personalized art creation, leveraging AI to transform user inputs into bespoke digital artworks.

• Enhanced platform performance employing advanced caching, asynchronous JavaScript loading, React component lazy loading, and WebSocket optimizations, which collectively reduced latency to 55% and accelerated content delivery.

• Enhanced code reliability with Jest and TypeScript, integrating asynchronous testing to streamline development and reduce bugs. Project: Learning Management System (LMS) (MERN, Docker, Redux, Socket.io, Cookies) May 2023 – Sept 2023

• Developed a high-availability LMS on Docker, achieving 99.6% uptime, highlighting system resilience.

• Implemented real-time messaging with Socket.io, improving application interactivity.

• Created 30+ RESTful API endpoints using Express.js and MongoDB for efficient content handling.

• Enhanced front-end performance using React.js and Material UI, leading to a 76% improvement in page load times.

• Integrated an NLP-powered chatbot, utilizing cookies for improved functionality.

• Added WebSocket for live updates and notifications, enhancing real-time user interaction in the LMS.

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