My Experience
Rutgers University
Teaching Assistant (September 2023 - May 2024)
- Recitation Instructor for CS170: Computer Application for Business, overseeing two sections with a combined enrollment of 46 students.
PipeIQ
Machine Learning Intern (June 2023 - August 2023)
- Engineered a customer-centric chatbot utilizing prompt engineering and LangChain technologies. The chatbot seamlessly integrates into client websites, bolstered by PipeIQ backend, enhancing user interaction.
- Spearheaded the development of a robust FastAPI endpoint to host the PipeIQ backend on AWS Elastic Beanstalk, ensuring optimal performance and scalability for the chatbot, resulting in improved user experiences.
- Implemented strategic analytics integration using Google Tag Manager, incorporating Google Analytics, DealFront, and PeopleDataLabs onto the PipeIQ website, leading to a 35% increase in actionable insights for the marketing team.
- Leveraged PeopleDataLabs Data and reverse IP lookup to identify and personalize user interactions, improving lead conversion rates by 40%.
- Conducted thorough testing and validation procedures to ensure the reliability, scalability, and security of the developed solutions.
Indian Institute of Technology - Delhi
Research Intern (June 2021 - April 2022)
- Investigated the application of Artificial Intelligence and Natural Language Processing in the Indian Judiciary System and how AI may be used to augment the judiciary.
- Implemented several summarization models (LexRank, Latent Semantic Analysis, T5, Bart-large-CNN) using Machine Learning and Deep Learning to summarize lengthy case documents which were 30% the length of the original documents and compared the results.
Gravitas AI
Research Intern and Content Editor (November 2021 - January 2022)
- Researched and catalogued content based on Cancer in a meaningful and structured manner which could be used in designing AI based solutions in the field of Oncology such as developing a chatbot which gives information about cancer.
- Designed detailed Conversation Flow designs for cognitive implementations.
The Tann Mann Foundation
Intern (June 2021 – August 2021)
- Developed a Lottery System page using JavaScript and Firebase which handles a database of users and generates a random lucky winner.
- Integrated the Raspberry Pi Cam to Raspberry Pi to develop a face recognition system using OpenCV.