Bhargav Thanki
About Bhargav Thanki
Bhargav Thanki is a Senior Software Engineer currently working at Taulia, with a background that includes positions at Bank OZK, Walmart Global Tech, and InComm. He holds a Master's Degree in Business Analytics & Information Systems from the University of South Florida and possesses expertise in various programming languages and cloud technologies.
Work at Taulia
Bhargav Thanki currently serves as a Senior Software Engineer at Taulia, a position he has held since 2023. He is a member of the Integrations Team, where he focuses on integrating various systems and technologies. His role involves utilizing his expertise in programming languages and frameworks to enhance the company's software solutions.
Previous Experience
Prior to joining Taulia, Bhargav Thanki worked at Walmart Global Tech as a Software Engineer from 2022 to 2023. He also held the position of Software Engineer II at Bank OZK from 2019 to 2022, where he contributed for three years in the Tampa/St. Petersburg, Florida Area. His earlier experience includes a role as a Software Engineer at InComm from 2018 to 2019 and a Software Developer Intern at Vector Solutions in 2018.
Education and Expertise
Bhargav Thanki earned a Master’s Degree in Business Analytics & Information Systems from the University of South Florida, studying from 2017 to 2018. He also holds a Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering from SRM University, completed from 2010 to 2014. His educational background supports his expertise in programming languages, cloud deployment, and machine learning.
Technical Skills
Bhargav Thanki possesses a wide range of technical skills. He is proficient in programming languages such as Java and C#, and frameworks including Spring MVC and ASP.NET MVC. He has experience with web development technologies like Angular, AJAX, and Bootstrap. Additionally, he is skilled in database management using Oracle, MySQL, and Postgres, and utilizes tools like Jenkins and Maven for continuous integration and deployment.
Machine Learning Knowledge
Bhargav Thanki has a strong foundation in machine learning models, including Linear Regression, Clustering, and Random Forest. His knowledge in this area complements his software engineering skills, allowing him to approach problem-solving with a data-driven mindset. He maintains a passion for learning new technologies to further enhance his capabilities.