About me

I'm Niloy Das, a -year B.Tech student specializing in Artificial Intelligence and Machine Learning. I work on impactful projects in computer vision, natural language processing, and deep learning. My goal is to build intelligent systems that solve real-world problems. I also serve as the General Manager at Workstation.

I've worked on diverse projects like brain tumor detection using EfficientNet, offline private LLM-based systems for DRDO, and real-time face recognition attendance apps. My goal is to create smart, efficient, and secure AI solutions. I also serve as the General Manager at Workstation, where I blend leadership with creative design and technical execution.

What i'm doing

  • machine learning icon

    Machine Learning

    Building intelligent ML models for computer vision, NLP, and predictive analytics at professional level.

  • AI development icon

    Artificial Intelligence

    Developing AI systems and deep learning solutions for real-world problem solving.

  • data analysis icon

    Data Analysis

    Professional data analysis and visualization to extract meaningful insights from complex datasets.

  • web development icon

    Web Development

    Creating modern, responsive web applications with cutting-edge technologies and frameworks.

Resume

Education

  1. Mckv Institute Of Engineering — MAKAUT

    2022 — 2026

    B.Tech in Artificial Intelligence and Machine Learning with a GPA of 9.31/10.0. Focusing on advanced AI/ML concepts, deep learning, data analysis, and modern software development practices.

  2. Baratajpur High School — WBCHSE

    2019 — 2021

    Higher Secondary in Pure Science (PCMB) with 84% cumulative percentage. Strong foundation in Physics, Chemistry, Mathematics, and Biology.

  3. Baratajpur High School — WBBSE

    2017 — 2019

    Secondary Education with 84.71% cumulative percentage. Excellent academic performance with strong fundamentals across all subjects.

Internships

  1. Summer Project Intern - Advanced Systems Laboratory, DRDO

    June 2025 — Present

    Developed a private, offline LLM-based system for secure data integration and querying, ensuring full data privacy without external API reliance. Implemented embeddings using sentence-transformers and integrated ChromaDB for semantic search with LangChain and Hugging Face Transformers.

  2. Machine Learning Intern - Edunet Foundation

    Nov 2024 — Dec 2024

    Built an Attendance Management System using Python 3.12.3 with face recognition automation. Integrated OpenCV for precise face detection, MySQL for database management, and Tkinter for GUI, serving over 20 students in real-time environment.

My skills

  • C Programming
    80%
  • Java
    85%
  • Python
    90%
  • Machine Learning & AI
    95%
  • Web Development
    85%
  • Database Management
    80%

Portfolio