Software Developer Engineer

Siva Ashok Kumar Tammisetty

***************@*****.*** 607-***-**** LinkedIn GitHub Portfolio Binghamton, New York Profile

• Software developer with 2 years of hands-on experience in backend (Java, Spring Boot), frontend (Angular, React, Vue.js), database (SQL, NoSQL), Cloud (Azure, AWS, GCP) in an Agile Setting.

• Profound understanding of complex Data Structures, Algorithms, Object Oriented Programming and Design Patterns & Principles with strong full stack development skills, seeking to leverage these skills in the role of Java Lead Software Engineer. Education

State University of New York at Binghamton

Master’s in computer science (GPA – 3.91) (Jan 2023 – Aug 2024) Courses: Computer Architecture & Organization, Design and Analysis of Algorithms, Design Patterns, Operating Systems, Machine Learning. Bachelor of Technology in Computer Science & Engineering (GPA – 9.3) (June 2018 – May 2022) Courses: Introduction to Cyber Security, Cloud Computing, Web Development, Data Structures and Algorithms. Skills

Languages: C, C++, Java, Python, JavaScript, Typescript, HTML5, CSS3 Frameworks: NodeJS, Spring, Spring Boot, React, Redux, React Native, Vuejs Databases: SQL, MySQL, NoSQL, GraphQL, Postgres, MongoDB, Redis, Elasticsearch Messaging Queues & Cloud Services: Kafka, RabbitMQ, Azure, AWS, GCP Tools: Git, SVN, Postman, Gitlab, Jira, Jenkins, Confluence, Kubernetes, Docker. Operating Systems & Experience Areas: Linux, Ubuntu, macOS, Oracle, Agile Methodologies, Scrum, Cyber Security, SDLC Professional Experience

Education Technology Assistant, Institute for Child Development Binghamton, New York (2023 - Current)

• Architected a Spring Boot microservice with scalable design and best coding practices from inception, crafting RESTful APIs and integrating with MySQL server; optimized backend-Onsen UI interaction, boosting UI responsiveness by 15%.

• Led the development of an inventory application using Java in an Agile framework. Implemented Azure for cloud services. Achieved a 30% increase in coding efficiency and reduced bugs by 25% Graduate Assistant, Binghamton University Binghamton, New York (2023 –2024)

• Assessed assignments of 40+ students in Java, Python, JavaScript. Provided constructive feedback to help improve their coding skills.

• Guided students in troubleshooting, debugging, and error-checking with code reviews, resulting in a 30% decrease in the number of coding errors. This involved common programming issues and helping students identify and resolve bugs in their implementations. Software Development Engineer, Quinbay Technologies Bangalore, India (2022 – 2023)

• Facilitated seamless communication between frontend and backend of 5 Microservices for an Indonesian customer marketing e-commerce site by developing 25+ RESTful Apis using Java. Achieved 93% test coverage through unit test cases in an Agile setting.

• Designed and implemented 10+ new functionalities for best customer experience, AWS and SQL/NoSQL databases for flash sale feature in retail pricing systems, boosting system performance by 20%. Worked closely with project managers materializing product requirements.

• Led cross-disciplinary teams to optimize relational (SQL, DynamoDB) and non-relational database query systems, cutting execution time by 20% and enhancing overall distributed systems performance using Java Streams, Lambdas, and Multi-Threading.

• Integrated Apache Kafka and RabbitMQ for asynchronous communication between distributed microservices, improving message throughput by 40% and reducing latency by 25, Utilized GCP for deploying artifacts.

• Worked on the Platform UI using React, Redux, TypeScript, react including memorization, state management, and hooks. Supported over 20 deployments utilizing Docker and Kubernetes, adeptly resolving bugs and issues while pushing code into repo using Git. Software Development Engineer Intern, Quinbay Technologies Bangalore, India (2022 – 2023)

• Enhanced site performance by designing Spring Boot microservices for an Instagram mock application. Optimized 40% of backend operations by efficiently managing SQL server for streamlined data storage and retrieval, leading to improved site performance.

• Developed a responsive user interface frontend for an e-commerce site using Angular, incorporating interactive components with 10+ functionalities, and leveraging cloud-native development practices on AWS, GCP. Projects

E-Commerce Link to Demo (React)

Engineered a responsive e-commerce web application allowing customers to browse, search, and manage a product catalog via a dummy API, leveraging React, React Router, and Axios for seamless API integration. Revamped Stride Scheduling in xv6 C, QEMU

Implemented lottery scheduling, ticket mechanism, and stride scheduling for equitable CPU resource distribution. Enhanced system efficiency by dynamically calculating stride values and intelligently selecting the next processes based on pass values. Out of Order CPU Simulation Embedded C

Spearheaded an out-of-order CPU simulation project with a 9-stage pipeline, extended to Superscalar features, boosting efficiency by 40%, while integrating register renaming, Reorder Buffer, Reservation Stations, and low-level programming for advanced ISA instructions such as ADD, LOAD, STORE, and BZ etc.

Pneumonia Detection Using Chest X-ray (CXR) images. Python, TensorFlow Applied an innovative pneumonia detection method using Convolutional Neural Networks (CNN) and Principal Component Analysis (PCA) for feature extraction from CXR images. Achieved a notable accuracy boost, reaching 85% in classifying pneumonia cases.