Machine Learning Engineer Intern

• Jul 2023 - Present

o Created the Emotional Attention Detection model using Deep Learning and GANs for online participant interest metrics in webinars. o Worked on Customer Entity Resolution (Record Linkage/ Matching) for the Keystone product – to create a single view of the customers and generate a 360-degree view of Financial customers. o Working on the FINSIGHTS product – a conversational AI for the customer to interact with their own financial data (bank statements), creating the architecture… Show more o Created the Emotional Attention Detection model using Deep Learning and GANs for online participant interest metrics in webinars. o Worked on Customer Entity Resolution (Record Linkage/ Matching) for the Keystone product – to create a single view of the customers and generate a 360-degree view of Financial customers. o Working on the FINSIGHTS product – a conversational AI for the customer to interact with their own financial data (bank statements), creating the architecture as well as the working LLM models o Working on the Turbo (Enterprise Search) product – a conversational AI for financial data for Enterprise companies in the FinTech domain, using state-of-the-art LLM models to create a Hybrid model of Enterprise search using - RAG based approach for searching and a Decoder-only LLM-based approach (with a mix of text to SQL) to query data that is maintained in the Enterprise Intranet as well as their data warehouse. Thus creating a one-stop for searching and querying anything about the enterprise and getting formatted responses with proof of data and intranet sources used. Show less o Created the Emotional Attention Detection model using Deep Learning and GANs for online participant interest metrics in webinars. o Worked on Customer Entity Resolution (Record Linkage/ Matching) for the Keystone product – to create a single view of the customers and generate a 360-degree view of Financial customers. o Working on the FINSIGHTS product – a conversational AI for the customer to interact with their own financial data (bank statements), creating the architecture… Show more o Created the Emotional Attention Detection model using Deep Learning and GANs for online participant interest metrics in webinars. o Worked on Customer Entity Resolution (Record Linkage/ Matching) for the Keystone product – to create a single view of the customers and generate a 360-degree view of Financial customers. o Working on the FINSIGHTS product – a conversational AI for the customer to interact with their own financial data (bank statements), creating the architecture as well as the working LLM models o Working on the Turbo (Enterprise Search) product – a conversational AI for financial data for Enterprise companies in the FinTech domain, using state-of-the-art LLM models to create a Hybrid model of Enterprise search using - RAG based approach for searching and a Decoder-only LLM-based approach (with a mix of text to SQL) to query data that is maintained in the Enterprise Intranet as well as their data warehouse. Thus creating a one-stop for searching and querying anything about the enterprise and getting formatted responses with proof of data and intranet sources used. Show less

Graduate Teaching Assistant

• Jan 2023 - Jun 2023

Working as the Graduate Teaching Assistant for CSE 475 Foundations in Machine Learning (Online). Currently working on the course redevelopment and creation of new lab modules for the course based on the use of ML tools and basic principles of Machine Learning. Working as the Graduate Teaching Assistant for CSE 475 Foundations in Machine Learning (Online). Currently working on the course redevelopment and creation of new lab modules for the course based on the use of ML tools and basic principles of Machine Learning.

Data Engineer

• Oct 2021 - Aug 2022

Worked on Data Science Workbench (DSW) for the US Group Data Services team. We built the end to end data pipeline as well as the data platform on which data analytics is done under one roof to develop the products for HSBC customers. Key technologies - Python, SQL, Google Cloud (GCP), Shell Scripting and Apache Airflow.

SDE

• Jul 2019 - Oct 2021

Worked as an SDE - 1 @HSDI (HTI - RBWM). In this role I get to work with Credit Card data and develop new products for the Cards RBWM team.

Software Project Intern

• Jan 2019 - Jul 2019

Working with Blockchain technology to build a mobile application which simply put is a social network for consumer products and rewards. Working with Blockchain technology to build a mobile application which simply put is a social network for consumer products and rewards.

Research Intern

• May 2018 - Jul 2018

Developed the Software for the modernized TDCR system (for analysis of radiation in soil) which reduces the cost of checking feasibility of growing crops for farmers. Software Developed in - C and Python; and revamped the FORTRAN based software. TDCR Hardware System in - newly buit FPGA based hardware. Developed the Software for the modernized TDCR system (for analysis of radiation in soil) which reduces the cost of checking feasibility of growing crops for farmers. Software Developed in - C and Python; and revamped the FORTRAN based software. TDCR Hardware System in - newly buit FPGA based hardware.

Web Developer (Intern)

• Jun 2017 - Aug 2017

Full Stack developer position Full Stack developer position

Electronic and Design(Intern)

• May 2017 - Jun 2017

Electronics (Trainee/Intern)

• May 2016 - Jul 2016

I worked on the PLC logic and the MATLAB and LABVIEW simulations for the prototypes for automated Parking lot system as well the the Traffic Control system for use-cases inside Kolkata. I worked on the PLC logic and the MATLAB and LABVIEW simulations for the prototypes for automated Parking lot system as well the the Traffic Control system for use-cases inside Kolkata.