Yogesh Gawali

About Yogesh Gawali

I am a passionate and results-driven Software Engineer with over 4 years of professional experience at Cognizant Technology Solutions. Throughout my tenure, I have worked extensively on full-stack development projects, primarily using Core Java, Spring Boot, React, and Maven. I’ve also had hands-on experience with MySQL and Apache Derby databases, where I have written and optimized complex queries.My role has spanned across multiple areas including UAT testing, DEV testing, and defect management, and I’ve collaborated closely with Azure DevOps for deployment and pipeline management. I’ve contributed to both frontend and backend development for enterprise-level projects, including my work on the MetLife project and Automation team.Key Strengths:Expertise in Java-based backend development and API architectureProficient in frontend technologies, delivering user-centric solutionsExperience in software testing, defect tracking, and process improvementQuick learner with a strong ability to adapt to new technologiesEffective team collaborator with excellent communication skillsI am committed to continuous learning and growth, both personally and professionally. I thrive on challenges and strive to deliver high-quality, scalable, and maintainable software solutions. Whether it’s building robust APIs or contributing to seamless digital experiences, I aim to make a positive and lasting impact through technology.Feel free to connect or reach out to me at: y••••••••@gmail.com

Experience

1. Junior Software Engineer

   Cognizant

   Sep 2022 — Present · Pune, IN

   Working as a part of Automation Team to create automated software solutions to leverage the business processes of the client.Received appreciation from the client, implementing best coding practices, lesser failed test cases and robust designing.Working on Analytical Bot which can output data in form of graphs, charts and interactive texts, based on questions asked by the analysts. It is compatible with the data sources which can either be present in SQL database or a normal spreadsheet, irrespective of their size/space. It is designed to work in Normal and Intelligent mode, where it uses Gen Al capabilities. This reduced their significant time & effort analyzing sheets and dashboards for getting proper insights.Developed and maintaining backend microservice for the Gen-Al Chatbot which is powered by LLM based on Google\'s Gemini and performed rigorous prompt engineering. It is designed to answer anything related to the documents fed. It helped agents and SMEs to get the information they are looking for in short time without spending much time on finding correct information from hundreds of documents & articles.

Education

• SSVPS'S POLYTECHNIC DHULE

  Diploma of Education

  2013 — 2017

• SVKM's Institute of Technology, Dhule

  Bachelor of Technology - BTech

  2018 — 2021