Subhadeep Mondal

Background

About Subhadeep Mondal

Subhadeep Mondal is a Software Engineer with 5 years of experience specializing in Python, AI, and Machine Learning. He has a proven track record of developing innovative solutions in healthcare, finance, and defense sectors. His technical skills include Python, HTML, CSS, Javascript, FastAPI, Flask, and MongoDB for languages and frameworks. For AI/ML, he is proficient in NLP, Scikit-learn, Matplotlib, Langchain, LLM, RAG, SpaCy, NLTK, MetaMap, and Tensorflow. He uses tools such as Git, Microsoft Fabric, Power BI, Jupyter, VS Code, and Jira. Currently, as an AI/ML Engineer at Tata Consultancy Services Limited (Apr 2021-Present), he has developed solutions for table extraction using GPT-4o, AWS Textract, and Liamaparse. He also built and deployed APIs for a Stochastic Inventory Model using FastAPI. His work for HCMT CTO Rapidlabs involved leading the development of an LLM-based chatbot with RAG for oncology, constructing biomedical knowledge graphs from PubMed data, and implementing CNN-based models for GI tumor image classification. He also designed a health insurance recommendation engine using machine learning and statistical modeling, conducted data analysis with Microsoft Fabric, and developed Power BI dashboards. He contributed to filing two patents and a healthcare solution he worked on reached the pre-finals of TCS Innovista. For Citi Bank, he performed large-scale document classification using NLP and machine learning, developed Flask-based APIs, and automated stakeholder communication via Python scripts. He also built conversational agents using Kore.ai to migrate services from IVR systems. Previously, he worked as a Project Engineer at Wipro Limited (May 2019-Feb 2020) on the eMMS software system for a defense client and completed SAP training. He holds a B.Tech in Computer Science & Engineering from the University of Engineering & Management, Kolkata (CGPA 9.23). He is also a co-inventor on an Indian patent application for a "Method and system for cost of care prediction based dynamic insurance plan recommendation and pricing".