Roles at Deloitte USI: (9 Months+)

# Working in Risk and Financial Advisory (Forensic Discovery and Financial Crime) of Deloitte Financial Advisory Services India Private Limited

# Developing Advanced Conversational RAG Chatbot using Azure and Open AI to support retrieval from various data sources (PDFs, Database, JSON, Video transcripts etc.)

# Leading initiatives in Advanced Data and AI Governance, focused on designing and piloting frameworks that ensure trustworthy, compliant, and explainable AI systems (TWAI) in ServiceNow.

# Building Statistical Machine Learning Models to detect Failures in Inflators for Airbag in Automobile OEMs. Predicting Potential contributing factors for failure, using Advanced Feature Engineering, ML models, Weibull Analysis by Python, Power BI, Deep Learning.

# Developing Generative AI Chatbot services (Local LLMs, Open AI, Llama 3) and deploying in cloud and local, integrating with third party applications.

# Supporting the regulation implementation of core Banking & Securities domain like Investment Compliance, Regulatory Reporting, etc using latest Gen AI capabilities in the existing servers and platforms.

# Developing AI Governance and Trustworthy AI frameworks for multiple platforms to help clients to monitor, manage, and govern AI assets. Created a robust evaluation framework to compare AI Governance platforms and identify the best-fit solutions for specific use case applications.

# Developing an Automotive Issue Prediction model integrated with an Azure OpenAI-powered chatbot to assist investigators in identifying and resolving vehicle-related issues efficiently.

# Built an Agentic AI chatbot on Azure OpenAI and Cognitive Services to automate risk detection and insights, enabling users to query data, risks, and receive contextual recommendations via chat

# Building multiple agentic GenAI chatbot platform powered by LLM (local and cloud), designed to act as intelligent, multi-capable assistants for enterprise use cases (Autonomous AI agents).

Roles at E42.ai: (4 Months)

# Developed AI-powered chatbots as part of Cognitive Process Automation (CPA) initiatives, leveraging Python, LLMs, GenAI, Deep Learning, and databases like MongoDB and MySQL, deployed using Azure and AWS cloud services.

# Handled backend services on Linux for API integration and process automation using Python scripts, while monitoring bot activity, chat/API logs, and performing audits based on business needs.

# Collaborated with Product Teams and Management to gather requirements, design business-level solutions, and drive the enhancement and development of new product features.

# Automated the Accounts Payable (AP) process using Azure Document Intelligence, chatbot fine-tuning, and custom APIs for seamless invoice processing, data extraction, report generation, and front-end integration on Microsoft Azure.

Roles at Protiviti: (2.2 Years)

# Worked as Data Analyst in Retail dataset of order level to build recommendation model as well as Store level Clustering to give insights and propose business level solutions to improve revenue and order figures for Oven Story.

# Developed Machine Learning Models (Random Forest, Ridge Classifier) to detect Anomaly in various policies for LIC India and integrated the whole ML model detection with Flask framework with there Java and Cobol Application.

# Worked as Machine Learning Developer for Forecasting Model development of CPI and Inflation Rate in UAE using Python, Alteryx for SCAD UAE.

# Worked as VBA-Macro specialist and RPA Automation Developer in Finance Assurance Automation Process of GMR as well Business Analyst for new requirement development.

# Robotic Process Automation Training (RPA) for 1.5 month and Certification in Automation Anywhere Certified Essentials RPA Professional Automation 360 - 2022, Bot Developer in A360 for GMR Invoice Processing and Finance Process

# Worked for 3 months in RPA Support Role in GMR Project (Bank Statement Download, Transaction Excel Update, SAP Entry, Payments Clearing of Vendors, Transactions Supervising)

# Worked as Data Analyst in Internal Audit Team of HSBC UK (Risk Matrix building, Data Analysis and Management, Data Quality Improvement and Risk Mitigation by ML Model Prediction, Report Generation and Execution the process)  

# Developed an Automated Application Screening Tool (App and Web) which uses AI-ML Model developed by Python, Automation Anywhere 360 Bot to perse JDs and download CVs from various sources like Naukri, Salesforce, LinkedIn, Mail (Outlook) etc. and scores the CVs based on JD resulting best fit candidates details as per requirement. 

Roles at Education Level (at Jadavpur University):

> Jagadis Bose National Science Talent Search (JBNSTS) Senior Scholar 2018

> Former Intern in  Indian Road Safety Campaign (IRSC) [2020]

> MCN (Millennium Campus Network) Member, Massachusetts, United States [2022]

> SOLIDWORKS Certified Professional (Machine Design, Surfacing, Additive Manufacturing) [2020]

> Summer Intern in SRFP 2021 under supervision of Professor Suman Chakraborty, IIT Kharagpur

> IAENG Member (Society of Industrial Engineering, Mechanical Engineering) [2021]

> NTPC Summer Vocational Trainee (NTPC RLI SIPAT) 2021

> Graduate Research Intern in South Dakota State University under Professor Saikat Basu [2021]

> Former Intern in ISRO Respond Project - "Vision Guided Auto Lander for Planetary Missions" [2021]

> Design Intern in SSSDIndia (Thermal Plant Designing) [2022]

Research Interests:

 @ Microfluidics in Bio-Medical Engineering and Hospitality Applications

 @ Renewable Energy & Sustainability 

 @ Nanoscience and Technology

 @ Sea-Water Desalination and subsequent Mineral Extraction 

 @ Green Energy Production

 @ Advance Hybrid Hydraulic Engine Design and Production

 @ Machine Learning by Python Programming

 @ Data Analysis & Visualization

 @ Big Data Analysis

 @ Waste Management and Segregation Techniques