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Niloy-Chakraborty/Readme.md

πŸ‘‹ Hi, I'm Niloy Chakraborty

Expert Data Scientist @ SenseGuard GmbH (LIXIL Group)

Machine Learning β€’ Generative AI β€’ Computer Vision β€’ IoT Analytics β€’ AWS



πŸš€ About Me

I am a Expert Data Scientist with 7+ years of professional experience developing and deploying Machine Learning and Deep Learning solutions.

Currently working at SenseGuard GmbH (LIXIL Group), where I build intelligent analytics systems for smart water infrastructure using Machine Learning, Time Series Analytics, IoT data, and cloud-native AI solutions.

Areas of Expertise

  • πŸ€– Machine Learning
  • 🧠 Generative AI & LLM Applications
  • πŸ‘οΈ Computer Vision
  • πŸ“ˆ Time Series Analytics
  • 🌊 Smart Meter Analytics
  • πŸš€ MLOps & Model Deployment
  • ☁️ AWS Cloud Solutions
  • ⚑ Edge AI

πŸ›  Tech Stack

Programming & Data Science


AI / Machine Learning


Generative AI


Cloud & MLOps



🎯 What I Build

Domain Focus
πŸ€– Machine Learning End-to-End Production ML Systems
🧠 Generative AI RAG, AI Agents, LLM Applications
πŸ‘οΈ Computer Vision Detection, Classification, Segmentation
πŸ“ˆ Time Series Analytics Forecasting & Anomaly Detection
🌊 IoT Analytics Smart Water Meter Intelligence
☁️ AWS Cloud SageMaker, Lambda, S3
πŸš€ MLOps CI/CD, Monitoring, Deployment

🌟 Featured Projects

🌊 Smart Water Analytics

Building machine learning solutions for:

  • Leakage Detection
  • Backflow Detection
  • Consumption Analytics
  • Sensor Intelligence

πŸ‘οΈ Computer Vision Applications

Developing deep learning pipelines for:

  • Image Classification
  • Object Detection
  • Industrial AI Systems

πŸ€– Generative AI Applications

Working on:

  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • LangGraph Workflows
  • Enterprise Knowledge Systems

☁️ Production AI Systems

Designing:

  • AWS-based ML Infrastructure
  • Scalable Inference Services
  • MLOps Pipelines
  • Real-time Analytics Systems

πŸ“š Publications


πŸ“ˆ Currently Learning

☁️ AWS Solutions Architect
🧠 Advanced LLM Systems
πŸ€– Agentic AI Architectures
πŸš€ MLOps Best Practices
πŸ“Š Scalable AI Infrastructure

πŸ† Professional Highlights

  • βœ… 7+ Years of Industry Experience
  • βœ… Production ML & DL Deployments
  • βœ… Computer Vision Specialist
  • βœ… Smart Meter & IoT Analytics
  • βœ… AWS Cloud Deployments
  • βœ… Research Publications
  • βœ… Generative AI Applications

πŸ’» Preferred Environment


🀝 Let's Connect


⭐ Building AI solutions that create real-world impact ⭐


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  1. Webpage_Saliency_Prediction Webpage_Saliency_Prediction Public

    A Webpage Saliency Prediction model via 2 staged Transfer Learning using FCN-16s architecture

    Jupyter Notebook 13 5

  2. Smart-Gardening Smart-Gardening Public

    In this project a gardening system has been automated using IoT in the Raspberry Pi platform.

    Python 32 7

  3. Fit-Finder Fit-Finder Public

    A personalized fit recommendation system using SFNET to learn input and latent representations of customers and articles for size and fit prediction

    Jupyter Notebook 3 2

  4. Time-Series_Clustering_For_Smart_Meter_Dataset Time-Series_Clustering_For_Smart_Meter_Dataset Public

    EDA and Time Series Stream Clustering for London Smart Meter Dataset, using Autoencoder with Kmeans algorithm, DB Scan, and Hierarchical Clustering algorithm.

    Python 12 3

  5. Real-Time-Data-Monitoring-System Real-Time-Data-Monitoring-System Public

    Real-time Network Data Monitoring System using RabbitMQ , InfluxDB and Chronograf

    Python 1 3

  6. Fully-Convolutional-Network-for-Image_Segmentation Fully-Convolutional-Network-for-Image_Segmentation Public

    A Fully Convolutional Neural Network based model

    Jupyter Notebook 2