Atharva Pandkar
About Atharva Pandkar
Atharva Pandkar is an NLP/LLM Engineer currently working at MIT Sandbox Innovation Fund Program in Cambridge, Massachusetts. He holds a Master's degree in Artificial Intelligence from Northeastern University and has a strong background in Natural Language Processing and Computer Vision.
Work at HER Heard
Atharva Pandkar currently serves as an NLP/LLM Engineer at HER Heard, a position he has held since 2024. In this role, he focuses on designing and implementing natural language processing (NLP) and large language model (LLM) systems. His work involves analyzing, synthesizing, and interacting with natural language data, contributing to the advancement of technology in this field.
Education and Expertise
Atharva Pandkar has a strong educational background in computer science and artificial intelligence. He is pursuing a Master's degree in Artificial Intelligence at Northeastern University, expected to be completed in 2024. He previously earned a Bachelor of Technology in Computer Science from MIT World Peace University in 2023. His foundational education includes a High School Diploma from MIT Polytechnic, completed in 2019.
Background
Atharva Pandkar's academic journey began at The Bishop's School, where he studied from 2006 to 2016. Following this, he attended MIT Polytechnic, where he focused on computer science. His professional experience includes a role as a Machine Learning Intern at Intelligence Techsol Pvt. Ltd. in India, where he worked from 2021 to 2022.
Teaching Experience
Atharva has experience as a Teaching Assistant at Northeastern University, where he worked for a total of seven months in 2023 and 2024. His responsibilities included supporting faculty and assisting students in understanding complex concepts in artificial intelligence and machine learning.
Achievements in NLP Development
Atharva contributed to the development of a chatbot designed to provide personalized and empathetic responses. This project resulted in a 25% increase in user retention rates, achieved through data-driven optimization and experimentation. His work highlights his commitment to enhancing user experience through innovative technology solutions.