Software Engineer - Java Springboot, React, Node.js, Python,Typescript

SNEHA THOMAS

https://github.com/sneha-thomas* https://www.linkedin.com/in/snehathomas12

San Jose, CA 95133 *********@*****.*** 669-***-**** CAREER SUMMARY

Experienced Software Developer proficient in Data Warehousing with over 7 years of expertise, complemented by a solid background in Java & React.

EDUCATION

M.S., Software Engineering San Jose State University, CA CGPA: 3.88/4.0 May 2022 Specialization: Cloud Computing and Data Science

B.Tech., Information Technology, Cochin University of Science & Technology, India Obtained 1st Rank in University (https://results.cusat.ac.in/rankviii.htm) CGPA: 9.0/10.0 April 2011

TECHNICAL SKILLS

Programming Languages: Java, Python, SQL, JavaScript,TypeScript Web technologies: Node JS, Express JS, React JS, HTML, CSS, JSON, Bootstrap, REST API Frameworks Hibernate, Spring Boot, Flask, Redux

RDBMS: MySQL, Cassandra, MongoDB

IDEs Spring Tool Suite, Eclipse, IntelliJ, Cursor

Unit testing JUnit

Project management tools JIRA, HP Quality Center

Build tools Maven, Gradle

Version control Git

Other tools/ technologies: Agile Methodologies, Informatica PowerCenter, BO XIR3.1/R2/6.5/5.1, Spark MLlib, Autosys, TWS, Docker

Cloud Platforms: Amazon AWS, Heroku

WORK EXPERIENCE

Consultant, Jiffy.ai, San Jose, CA July 2024 - Present Project-No-Code Platform

● Revamped the no-code automation platform UI using React, reducing code duplication by 20% through reusable components.

● Migrated key modules to Redux and React Context, improving state management and reducing state-related bugs by 20%.

● Improved performance for large datasets using React Virtualized, resulting in faster page loads and smoother scrolling.

● Worked closely with design and product teams to deliver a modern, user-friendly interface, improving usability scores by 20%.

● Increased development speed by using Cursor AI for code refactoring, component generation, and code consistency checks.

Associate - Projects, Cognizant Technology Solutions, Kochi Mar 2015 - Aug 2017 Project - XL Catlin Global Insurance (Conformance)

● Collaborated with Business Analysts and clients on requirements gathering, development, deployment, and troubleshooting of BI projects.

● Designed and implemented Informatica mappings based on Incremental, Full Load, Truncate & Reload strategies to support diverse data integration needs.

● Developed and deployed Spring Boot–based microservices to enable scalable and modular insurance applications.

● Designed and implemented RESTful APIs for seamless integration between data services and downstream applications.

● Utilized Hibernate/JPA for ORM, improving database interaction efficiency and reducing boilerplate code.

● Applied Microservices architecture to break down monolithic modules, improving maintainability and deployment flexibility.

Software Engineer, Accenture Services Pvt Ltd, Bangalore Jun 2011 – Mar 2015 Project - UnitedHealth Group

● Revamped a legacy application within a tight timeline which enabled interactive analysis of large-scale datasets and generation of Business Intelligence reports.

● Redesigned the Informatica mappings by performance-tuning the source query and removing unnecessary mapping dependencies which reduced the application run-time in production by 2 hours. ACADEMIC PROJECTS

Starbucks - Mobile application simulator, SJSU [Java]

● Developed a Java console application emulating Starbucks' mobile interface, capturing user input for navigation through pin/payment screens and utilizing their functionalities.

● Secured the first position among 80 students in the Software Systems Engineering hackathon at San Jose State University, excelling with a high number of passed test cases and minimal code smells. Smart Agriculture, SJSU [J2EE, Cassandra]

● Smart Agriculture is an IoT-driven infrastructure service management system hosted on the cloud, offering farmers on-demand, large-scale services for constructing their IoT infrastructure networks.

● Orchestrated virtualization for smart agriculture sensors and cluster nodes, enabling seamless data collection, transfer, control, and configuration.

● Successfully deployed the application on Amazon AWS and configured Elastic Load Balancer for optimal performance.

Yelp Recommendation System, SJSU [Python, ML libraries]

● Developed a business recommendation system employing content-based, item-item collaborative filtering, user-user collaborative filtering, and a hybrid model.

● Conducted thorough analysis and comparison of recommendation algorithms on the Yelp dataset, considering parameters such as MAE (Mean Absolute Error) and RMSE (Root Mean Square Error). We Care, SJSU [Node JS, Express JS, React JS, Mongo DB]

● WeCare is a platform facilitating assistance exchange, particularly vital during pandemics or natural disasters.

● Implemented and deployed several back-end and front-end modules, incorporating server-side and client-side pagination, localization, search engine optimization, Google Maps API integration, and RSS feeds for health news. Implemented email notifications using EmailJS.

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