Suman Nandy

Implemented an AI-Powered Customer Support Agent using Python, LangChain, HuggingFace (Falcon-7B, MiniLM), FastAPI, FAISS, Docker, Streamlit, and REST APIs. Designed and implemented a Log aggregator dashboard with FastAPI, MongoDB, and Angular deployed on Azure app service. Developed a custom ETL pipeline for invoice ingestion using Python, Sybase, and MongoDB. Created Python batch processing for loading and comparing large text files, cleaning data, and managing unique record additions using SSIS package.

Designed and deployed a scalable end-to-end GenAI-based object detection system using YOLOv8 with capabilities including video frame extraction, human-in-the-loop data labeling, model training, and real-time inference deployed on AWS ECS. Created serverless ETL pipelines with AWS Lambda, Glue, S3, and QuickSight. Automated cloud infrastructure using Terraform to reduce manual effort and deployment time. Developed REST APIs with Python and Node.js for large-scale data processing. Led engineering teams in DevOps best practices and cloud security, and implemented CI/CD pipelines using Jenkins and GitHub Actions.

Developed a global freight bid management platform using Python, Node.js, Angular, and MySQL. Led architecture design to ensure system scalability and high availability. Collaborated with QA teams to automate testing using Selenium and TestNG.