About

Lalita Patidar is a highly skilled Software Engineer with 2.43 years of relevant experience in the field. Currently working at Goldman Sachs, Lalita is a valuable member of the Synthetic Product Group, where she is responsible for developing and maintaining software applications that help simulate financial products. Lalita began her career as a Summer Analyst at Goldman Sachs, where she gained valuable experience in the financial industry. Prior to that, she was a member of the coding team at Computer Club, where she honed her skills in software development. Lalita holds a Bachelor of Engineering degree in Computer Science from SGSITS, where she graduated in 2020. She also holds an impressive academic record, having scored 93.6% in her secondary education at JNV Jhalawar. Lalita's technical expertise lies in software engineering, and she is proficient in a wide range of technologies and programming languages. Her TechStack includes a variety of tools and frameworks that she uses to build high-quality software applications. As a Software Engineer, Lalita is known for her attention to detail, problem-solving skills, and ability to work collaboratively with cross-functional teams. She is passionate about using technology to solve complex problems and is always eager to learn new skills and technologies. Overall, Lalita Patidar is a highly skilled Software Engineer with a strong track record of success in the industry. Her dedication, expertise, and passion for technology make her a valuable asset to any organization.