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nasim-raj-laskar/README.md

👋 Hi, I'm Nasim

🎓 Final-Year IT Student 🧠 Machine Learning | Deep Learning | MLOps

I design and deploy machine learning systems — not just models.

My work focuses on building reproducible, production-ready ML pipelines, combining strong modeling fundamentals with engineering discipline. I care about experimentation, robustness, and scalable deployment.

🧠 Machine Learning & Deep Learning

  • End-to-end ML workflows: preprocessing → training → validation → inference
  • Model optimization, hyperparameter tuning & evaluation
  • Computer Vision & applied ML research
  • Experiment-driven development

⚙️ MLOps & Cloud Engineering

  • Dockerized ML workflows
  • CI/CD automation for ML pipelines
  • Experiment tracking & model versioning
  • Infrastructure as Code
  • Cloud fundamentals (AWS ecosystem)

🌐 Backend & Infrastructure

  • ML model serving with FastAPI & Flask
  • Database integration
  • Linux-based development environments
  • Git workflows & automation

🔌 Edge AI & Embedded ML (Exploration)

  • Lightweight ML deployment on ESP32
  • Embedded experimentation & edge inference
  • Raspberry Pi prototyping

🎯 Core Focus

My core identity lies in Machine Learning & Deep Learning,
strengthened by evolving MLOps and cloud engineering skills.


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  1. Pyth-30 Pyth-30 Public

    This repo contains 30 Python-based AI/ML projects aimed at enhancing skills through practical implementations. The projects cover various domains such as computer vision, natural language processin…

    Jupyter Notebook 2

  2. HeatWave-EWS HeatWave-EWS Public

    A real-time IoT-based heatwave detection system using ESP32, DHT11, and a Django-powered web interface for monitoring and analysis.

    Jupyter Notebook 1

  3. cloud-cost-ml-pipeline cloud-cost-ml-pipeline Public

    MLOps pipeline for cloud cost prediction with automated CI/CD on AWS

    Python

  4. Hurricane-Damage-Training-Pipeline Hurricane-Damage-Training-Pipeline Public

    MLOps pipeline for CNN training with Airflow orchestration, MLflow tracking, and real-time monitoring on AWS.

    Python

  5. AQM AQM Public

    ESP32-based IoT air quality monitoring system with real-time ML inference, multi-sensor fusion (DHT11/MQ135), FastAPI backend, InfluxDB time-series storage, and Grafana visualization dashboards.

    Python

  6. Race-Telemetry Race-Telemetry Public

    A real-time telemetry MLOps platform with automated training, CI/CD deployment on AWS, and end-to-end observability.

    Python