Sagar Dey

About

B.E. student specializing in Artificial Intelligence and Machine Learning with hands-on internship experience in applied machine learning and AI/ML solutions. Interested in model deployment, computer vision, natural language processing, and building practical AI systems.

Experience

• Subject Matter Expert (Intern) – AI/ML
  House of Couton Pvt. Ltd.
  Apr 2025 – Present
• Machine Learning Intern
  CodSoft
  May 2024 – May 2024

Education

• Bachelor of Engineering in Artificial Intelligence and Machine Learning
  Acharya Institute of Technology
  Artificial Intelligence and Machine Learning · Dec 2022 – May 2026

Skills

• SQL
• Artificial intelligence
• C
• Computer Vision
• Git
• Google Colab
• Python
• Jupyter Notebook
• Machine Learning
• VS Code
• Java
• MongoDB
• Time Series Analysis
• DBMS
• Pycharm
• Generative AI
• Natural Language Processing
• Data Structures and Algorithms
• Visual Studio
• Eclipse

Projects

• Code Clone Detection
  Python, Deep Learning, AST, TF-IDF, Scikit-Learn

  Developed a clone detection system using Abstract Syntax Trees and neural networks. Applied TF-IDF for feature extraction and trained models for semantic similarity detection. Improved accuracy and reduced false positives over traditional clone detection methods.

• AI-Powered Navigation System for Visually Impaired
  YOLOv8, MiDaS, Python, pyttsx3

  Designed a mobile-compatible system that integrates object detection, depth estimation, and TTS alerts. Used YOLOv8 for real-time object detection and MiDaS for monocular depth estimation. Implemented text-to-speech using pyttsx3 to provide auditory guidance to visually impaired users. Worked on optimizing the pipeline for smooth performance in edge and embedded devices.

• Accident Severity Prediction
  Python, Scikit-Learn, Machine Learning

  Performed data preprocessing, including feature engineering, handling missing values, and normalization. Evaluated model accuracy using confusion matrix, precision-recall, and F1-score. Optimized hyperparameters and improved feature selection using Scikit-Learn and Python.

Courses & certifications

• NPTEL Exam in Machine Learning · IIT Madras
• Programming for Everybody (Getting Started with Python) · University of Michigan
• GenAI for Everyone · Fractal
• AI For Everyone · Deep Learning.ai
• Machine Learning Introduction for Everyone · IBM

🏆 Achievements & awards

• Research Publication Neural Nexus

  Co-authored a research paper titled Neural Network-Based Clone Detection, indexed in Web of Science. Explores neural network-based approaches for detecting code clones, improving software maintenance and productivity.