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.

 

 


Role 1
Data scientist
Role 2
Machine learning engineer
Healthcare > healthcare services
51- 500 people
Senior
Canada
Any
NA
Remote

Education

  • 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.

  • 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


Portfolio


Expertise

Data Science
90
NLP
90
python
90
Pytorch
80
Tensorflow
80
GCP
90

Languages

Python,
SQL,
English

Honors & awards

  • 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.