I’m a recent Computer Science graduate from KLE Technological University, actively seeking opportunities in software development. With hands-on experience in C, C++, Python, SQL, and a growing proficiency in Java, I’ve developed multiple projects that combine practical problem-solving with efficient code design. My interests include machine learning, object-oriented programming, and building intelligent, user-friendly systems. I’m a quick learner, passionate about sharpening my technical skills, and eager to contribute to impactful, real-world software solutions.
B.E. in Computer Science Engineering (2021–2025)
CGPA: 7.95
PUC II Science Graduate (2019–2021) – 100%
Class X (2019) – 96.8%
Generates child-friendly stories using a fine-tuned Gemma-3 LLM with the TinyStories dataset. Uses the Gemini API for AI-generated image illustrations.
🚀 View DemoEnhances security in facial authentication systems using OpenCV, Python, and TensorFlow to prevent spoofing attacks.
Detects and recognizes vehicle number plates using OpenCV and machine learning algorithms.
Uses Tweepy and TextBlob to extract and classify Twitter sentiments (positive/negative/neutral) via natural language processing.
ML-based system to classify and categorize firearm forensic cases based on uploaded images.
A MERN stack-based tool designed to assist in managing exam invigilation by helping allocate faculty based on their availability and subject expertise.
A web-based application designed to help users monitor their menstrual health by tracking cycles, recording symptoms, and generating personalized insights for better planning and awareness.
Email: maheshdindur9740@gmail.com
GitHub: 📦 Unbox My Projects
LinkedIn: 👤 Find Me on LinkedIn