About

I am Mahesh Ramesh Kandekar, an AI/ML and Generative AI enthusiast with a strong academic foundation and hands-on industry experience. I hold a Master’s degree in Computer Science and have worked on diverse real-world projects involving computer vision, deep learning, NLP, and LLM-based chatbot systems. Currently working as an AI Intern in the R&D team at Yantrik Technology, I have developed and deployed AI-powered visual inspection systems for defect detection in automotive components, sealant verification, and light quality analysis using YOLO, OpenCV, and Flask. I also built a Generative AI-based customer support chatbot using LangChain, integrated with a responsive frontend. My core strengths lie in building end-to-end AI solutions—from data collection and preprocessing to model training and deployment—across domains like fraud detection, industrial automation, and intelligent customer support. I'm driven to create innovative, real-time solutions that bridge the gap between AI research and impactful applications.

Educational Skill

  • Education

    MSc in Computer Science
    Sahakar Maharshi Bhausaheb Santuji Thorat College of Arts, Science and Commerce (SMBST) sangamnear

  • Programming Languages

    Python, SQL
    Libraries & Frameworks: Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, OpenCV, LangChain

  • Statistical Analysis

    Techniques: Descriptive Statistics, Inferential Statistics, Hypothesis Testing, A/B Testing, Bayesian Analysis

  • Machine Learning

    Methods: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Natural Language Processing (NLP), Anomaly Detection

  • Deep Learning & AI

    Techniques: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformers, Generative AI, Large Language Models (LLMs)

  • Web & API Frameworks

    Frameworks: Flask, FastAPI, Streamlit

  • Databases & Data Storage

    Systems: MySQL, PostgreSQL, MongoDB, SQLite

  • Version Control & Collaboration

    Tools: Git, GitHub, GitLab, Bitbucket

  • Tools & Platforms

    Software: Power BI, Jupyter Notebook, Visual Studio Code, PyCharm, Google Colab, Docker, Kubernetes, Microsoft Excel, AWS, Azure

Projects

Explore the projects I've worked on and my professional experience. Here are some highlights:

  • AI-Based Defect Detection System

    AI-Based Defect Detection System

    Developed an AI-powered defect detection system using computer vision techniques to identify and classify defects in manufacturing parts with high accuracy.

  • Generative AI Expense Tracking Chatbot

    Generative AI Expense Tracking Chatbot

    Built a Telegram chatbot using n8n workflow automation and Generative AI to record user expenses and export the data into Excel files for easy financial tracking.

  • Customer Support Chatbot

    Customer Support Chatbot

    Created an AI-driven customer support chatbot to provide automated responses, improve customer engagement, and reduce response times across digital platforms.

Resume

Explore my professional experience, education, and skills in detail. Download my resume for more information.