SHIVRAM E *****@***********.*******.*** +1-949*******
LinkedIn: https://www.linkedin.com/in/e-shivram/
GitHub: https://github.com/shivram97
EDUCATION
RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY
Master of Information Technology and Analytics- Machine Learning, Natural Language Processing, Cloud Computing, Software Development. Statistical Analysis,Neural Networks,Big Data, Data Visualization, Knowledge Discovery and Data Mining,Kubernetes. APJ Abdul Kalam Technological University- Kerala, India Bachelor of Technology in Computer Science and Engineering 2024 - Present
EXPERIENCE
SSI VR Lab Rutgers- New Jersey, USA Full Stack Developer
• Developed and integrated real-time communication between the frontend (React, TypeScript) and backend (Node.js, TypeScript) using WebSockets.
• Utilized reducers and custom hooks for state management, establishing backend event listeners for seamless data processing.
• Applied event-driven architecture to the backend system.
• Containerized backend and frontend applications with Docker, increasing build time by 30%.
• Implemented server-side caching of participant data in a VR simulation, improving data retrieval speed by 80% and enhancing application performance.
2022 - 2024
IBS Software- Kerala, India Senior Product Engineer
• Database Archival Optimization for Airline Passenger Reservation System: Led a team of 2 to implement an archival process using stored procedures and Java for 200+ PostgreSQL tables (partitioned and non-partitioned) in an airline reservation system, improving efficiency by 60% for tables with over 1 million records.
• Custom Audit Report Generation Tool for Airline Industry: Created an audit report generation tool tailored for various clients' needs within the airline passenger reservation system domain, utilizing Java and PostgreSQL for robust data handling and reporting.
• Oracle to PostgreSQL Migration and Performance Enhancement for Airline Systems: Revamped Oracle to PostgreSQL migration queries, significantly enhancing performance and ensuring efficient data transfer and seamless transition within the airline passenger reservation system.
• Designed a distributed master/slave system with JMeter NFR Testing. Infosys- Karnataka,India Backend Engineer (Java, Angular, PostgreSQL) - Retail Logistics Application (Postal) 2019 –2022
• Designed and implemented a Java Spring Boot microservice on AWS Lambda, processing encrypted messages(address information) from Amazon SQS, increasing the address recognition by 5%.
• Developed a postal application that generates barcodes following address validation and optimization, and integration with external systems, for efficient mail processing.
• Constructed a dashboard to facilitate entering of parcel delivery and creation of postal deposits of more than 500,000 parcels per day.
• Increased the performance of the loading pages postal deposits by 50% implementing client-side caching.
• Configured Jenkins to implement Continuous Integration/Continuous Deployment(CI/CD) pipelines, automating build, test, and deployment .
• Managed a team of 3 that successfully led the database migration from Oracle to PostgreSQL. PROJECTS
• Real-Time Face Recognition using Deep Learning: Implemented a real-time face detection and recognition system using Haar Cascade classifier, managed data collection and sampling, optimized feature selection for over 100k datasets, and trained the model with a triplet model using OpenCV, Python, and Flask.
• Student Performance Analyzer : Leveraged classification models (Logistic Regression, Support Vector Machines (SVM), Decision Trees, Neural Networks) to predict academic outcomes, providing insights into key factors influencing student success(Python).
• US Energy Landscapes : Crafted Tableau dashboards to visualize and analyze the US energy landscape, focusing on balancing energy production with carbon neutrality goals. SKILLS
• Java, Python, PostgreSQL, SQL, AWS(S3,EC2,SQS), Angular, NodeJS, Typescript, React, Git, SVN, MongoDB, Tableau, Terraform,AWS API Gateway,Git,SVN,JPA,Redux,Jest,HTML5,CSS,REST,JavaScript.