Mahesh Dindur is a passionate and adaptable Computer Science graduate with hands-on experience in AI/ML and data analytics. With a strong foundation in Python, C++, and various machine learning frameworks, he is eager to apply his skills to challenging roles in Machine Learning, AI development (including Agentic AI), software development, and data analytics. He excels at building intelligent systems and is keen to contribute to innovative projects that leverage cutting-edge technology.


Key Skills and Expertise

Programming Languages: C, C++, Python, and Dart.

Technologies & Frameworks: Git, Hugging Face Transformers, OpenCV, TensorFlow, MongoDB, Express.js, React, and Node.js, Flutter.

Core Concepts: Object-Oriented Programming, Machine Learning, Data Analytics, and Natural Language Processing, Datastructure and algorithm.

Soft Skills: Quick Learner, Adaptability, and Team Worker.


Relevant Projects in Data Science and AI/ML

Automated Story Generator Using Fine-Tuned LLM: This project uses the fine-tuned Gemma 3 model on the TinyStories dataset to generate child-friendly stories. It also uses the Gemini API to create related images, making storytelling interactive and engaging. The project is built with Python and Hugging Face Transformers.

Sentiment Analysis on Social Media: This project performs sentiment analysis on Twitter data using the Tweepy library and TextBlob. The system uses machine learning and natural language processing techniques to classify tweets as positive, negative, or neutral.

Automated Classification of Firearm Cases: This project aids firearm forensic work by using Python and machine learning to automatically classify firearm cases from user-inputted images.

Face Authentication Using Face Liveness Detection: Developed with Python, OpenCV, and TensorFlow, this project enhances security by preventing spoofing attacks from photos or videos.

Vehicle Number Plate Detection System: This system uses OpenCV and Python with machine learning algorithms to detect and recognize number plates from uploaded images, ensuring high precision and efficiency.

Education and Certifications
Education: You completed your Computer Science Engineering degree at KLE Dr. M.S. Sheshgiri College of Engineering and Technology, Belagavi.

Certifications: You hold certifications in Python Basics, Kubernetes for Developers, and AI Automation: Build LLM Apps & AI-Agents with n8n & APIs - Udemy.