Chintan Gotecha
About Chintan Gotecha
Chintan Gotecha is a Lead Data Scientist at Ushur, where he oversees the deployment and optimization of large language models. With a background in data science and experience at several companies, he specializes in designing scalable architectures and enhancing customer interactions through advanced AI methodologies.
Work at Ushur
Chintan Gotecha serves as the Lead Data Scientist at Ushur since 2022. In this role, he oversees the complete lifecycle of large language model deployment, from initial conceptualization to ongoing optimization. He designs robust and scalable architectures for large language model systems, ensuring optimal performance and reliability. Gotecha has spearheaded the development of conversational AI systems at Ushur Technologies, which enhances user engagement and satisfaction. His work involves fine-tuning large language models to understand nuanced language patterns for personalized customer interactions.
Previous Experience in Data Science
Before joining Ushur, Chintan Gotecha held several positions in data science. He worked as a Senior Data Scientist at Prodigal for 11 months in 2022. Prior to that, he was a Lead Data Scientist at Icertis from 2019 to 2022, where he contributed to various data-driven projects. Gotecha also worked at Persistent Systems as a Data Scientist from 2018 to 2019. His career began at Accelerite as an Associate Data Scientist from 2017 to 2018, where he gained foundational experience in the field.
Education and Expertise
Chintan Gotecha earned a Bachelor of Technology (BTech) in Computer Science from UPES, studying from 2012 to 2016. His academic background laid the groundwork for his expertise in data science and large language models. Additionally, he completed a research internship at the Indian Institute of Technology, Bombay in 2015, which further enhanced his research skills and knowledge in the field.
Leadership and Initiatives
During his time at UPES, Chintan Gotecha served as the Student Body President from 2014 to 2015. In this leadership role, he was responsible for representing student interests and organizing initiatives within the university. His experience in leadership complements his technical skills, enabling him to effectively manage teams and projects in his professional career.
Technical Skills and Methodologies
Chintan Gotecha employs advanced methodologies for the performance evaluation of large language models, refining them iteratively to enhance their effectiveness. He adeptly utilizes vector databases to manage complex data representations, facilitating quicker data-driven decision-making. His technical skills are integral to his role in developing scalable solutions in data science.