I'm an Web and Software developer with hands-on experience from multiple internships. I specialize in Python full-stack development, logical programming, and real-time problem solving.
Resume
Hi! I'm a Computer Science graduate passionate about web development and software engineering.
I work primarily with Python, applying it to machine learning and data analysis. I’ve built projects in volving image classification, data processing, and exploratory analysis using pandas and scikit-learn. My experience includes working with real datasets, writing clean code, and delivering clear, practical results.
Outside of coding, I enjoy music, reading, and playing volleyball. I'm always looking for opportunities to expand my skills and knowledge in the ever-evolving tech landscape.
Projects Completed
Internships
GitHub Repo's
Pursuing an undergraduate degree in Computer Science and Engineering. Actively participated in technical events, showcasing problem-solving skills.
I completed my higher secondary education (PUC) in Tumkur, where I studied the PCMB stream.
I completed my schooling journey in Tumkur itself from pre-nursery to Secondary Education and I have a great memory back there.
➤ Strengthened algorithmic proficiency by 60% through recursion, multithreading, and ASCII pattern logic in mock assessments.
➤ Reduced syntax and runtime failures by 45% via structured exception handling, loop control, and line-by-line debugging across 50+ Python runs.
➤ Tech Stack: Python, Git, Regex, Multithreading, Control Flow, Aptitude
➤ Built a real-time drowsiness detection system using Python and OpenCV, achieving 90% accuracy in detecting fatigue.
➤ Used eye aspect ratio and head pose tracking to trigger alerts within 1.2 seconds.
➤ Tech Stack: Python, OpenCV, dlib, NumPy
➤ Improved model accuracy by 15% through structured data preprocessing using Python and pandas.
➤ Achieved 88% classification accuracy with cross-validation in scikit-learn, reducing overfitting and lowering prediction error by 10%.
➤ Tech Stack: Python, scikit-learn, pandas, Jupyter Notebook
Built a real-time waste classification system using image processing and ML, achieving 92.3% accuracy across 5 recyclable categories to support efficient waste segregation.
A full-stack system for gold retailers that automates 95% of inventory tasks, reduces manual errors by 60%, and improves page load time by 45% using React, Node.js, and MongoDB.
Analyzed 1,000+ Indian food records using ML and data visualization to extract insights on regional cuisine trends, improving data-driven culinary research accuracy by 80%.
Developed an AI-based facial recognition system for secure visitor identification, delivering real-time alerts with 97% face detection accuracy and reducing unauthorized access risks.
Engineered a regression model using XGBoost, Linear, and Gradient Boosting algorithms to predict real estate prices in Indian metros with an R² score of 0.89 on test data.
Created a responsive Tic Tac Toe game using ReactJS, featuring real-time state updates and modular game logic, enhancing UI interactivity and component-based design skills.
Secured1stplaceatstatelevelin2018, competingamongentriesfrom multiple Indian states, recognized for originality and advanced drawing technique.
Earned top honors at the 2019 Kala Rathna district-level competition for exceptional detail and emotional depth in sketching, standing out among dozens of regional entries.
Led 3+ blood drives and health campaigns, impacting 300+ students, faculty, and local residents through structured outreach and event coordination.
Represented at inter-school tournaments, demonstrating strong teamwork, game strategy, and athletic discipline, contributing to multiple match wins through consistent performance.