About

Lalit Sharma is a highly skilled computer scientist with a focus on full-stack development in the Python domain. With over four years of industry experience, Lalit has worked with some of the leading companies in the field, including Adobe, Quicket Solutions, and Interra Systems. During his time at Interra Systems, Lalit spent three years as a full-stack engineer, where he designed and developed an annotation tool for manual annotators. The annotated data was used by machine learning developers to train their models, and the dataset was around 6 million large. Lalit was responsible for developing APIs and UI for annotation, as well as APIs for retrieving the large dataset. After his stint at Interra Systems, Lalit joined Quicket Solutions, where he was part of a team working on a Law Enforcement application. He was involved in enhancing user experience by minimizing the latency of search results for a large dataset. Lalit also designed and developed the integration of the IUCS database with the Quicket application. Lalit has a Bachelor of Technology degree in Computer Science from Malviya National Institute of Technology, Jaipur. He is a skilled software engineer, research scientist, and has expertise in Django, ML, Search, Integration, and UI. Lalit's relevant experience in the field is 5.20 years. Currently, Lalit is working as an SDE ll and Python backed engineer at Quicket Solutions. He has also been involved in the mentorship program at the company. Lalit is a highly motivated and skilled professional who is committed to delivering high-quality work and driving innovation in the field of computer science.