Key accomplishments
Developed Text Summarisation model using BART to summarise Patient-Provider Transcript into Chartnote. Deployed it on GCP using VertexAI, CLoudRun, CloudFunction, Pub-Sub, and CloudBuckets.
Worked on improving chatbot functionality using RAG to include compliance documents in the Finance sector. (Internal use for Client-Agent conversation). This utilized RAG, Langchain, Vector-database, etc.
Education
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February 1 2021 - February 28 2022
Aegis School of Data Science, India
PGP in Data Science
I have completed the Post Graduate Program in Data Science from Aegis School of Data Science, where I studied basic to advance Python, Statistics, Machine Learning, Deep Learning, and Natural Language Processing (NLP) Techniques. - Developed a mobile application to detect the healthiness/harmfulness of ingredients on packaged food items and beauty products.
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June 2 2014 - May 31 2018
Pune University, India
B.E. Mechanical
I have completed a Bachelor of Engineering in Mechanical branch from K.K. Wagh College, Nashik, India. We won Gokart-Championship 2017, 2018. I was head of the Engine and Transmission dept where we built a Go-kart from scratch and won the race.
Experience
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April 4 2022 - Present
TCS Canada
Data Scientist
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September 1 2018 - May 15 2020
Bosch Limited, India
Data Scientist
Portfolio
Languages
Honors & awards
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2023
 Star Performance Award
I got this award in TCS, for my star performance in utilizing LLM (RoBERTa) model in Chartnote API to detect contextual errors.
