
Crop Recommendation System
An ML-powered system that recommends the most suitable crop based on soil nutrients (N, P, K), temperature, humidity, pH and rainfall — helping farmers make data-driven planting decisions.
A passionate developer who enjoys turning ideas into real, user-friendly solutions through code. I'm eager to contribute to impactful solutions and grow.

I am a graduate in Information Science Engineering and an aspiring AI & Full Stack Developer passionate about building user-focused digital solutions. I have experience in Java, Python, SQL, MySQL, React, HTML, CSS, JavaScript, Flask, TensorFlow, and machine learning, with a strong interest in developing intelligent and scalable applications. Through hands-on projects in AI and full-stack development, I focus on writing clean, maintainable code while continuously learning new technologies and turning innovative ideas into practical solutions.
Outside of tech, I enjoy reading about product strategy, exploring new design trends, playing badminton, and co-curricular activities like classical dance and Carnatic music.
Jawaharlal Nehru New College of Engineering (JNNCE), Shivamogga
2022 – 2026
CGPA: 9.13
Specialising in Information Science & Engineering — Software Development, Machine Learning and Cloud technologies.
Science — PCMB (Physics, Chemistry, Mathematics, Biology)
2020 – 2022
Percentage: 85.33%
Completed pre-university with a science stream focused on PCMB.
Secondary School
2020
Percentage: 86.72%
Completed 10th standard with a strong foundation in science, mathematics and computer fundamentals.
Cloud Institute
JNNCE ISE IEEE

An ML-powered system that recommends the most suitable crop based on soil nutrients (N, P, K), temperature, humidity, pH and rainfall — helping farmers make data-driven planting decisions.

Detects Parkinson's disease from biomedical voice measurements using supervised learning. Trained classifiers on UCI's Parkinson dataset to support early diagnosis.

A full-stack Java web application for booking wildlife safaris, stays and guides. Features user authentication, tour package management, booking status tracking and an admin dashboard — built with JSP, Servlets and JDBC.

A full-stack Java web application for managing hospital operations including patient registration, doctor appointments, medical records and billing — built with JSP, Servlets and JDBC.

Conducted by JNNCE in collaboration with Subbaiah Institute of Medical Science focusing on real-world healthcare applications. Gained hands-on experience in applying machine learning to medical devices.

Conducted and coordinated Yugma Tech Fest under the IEEE banner in our department, which included a 24-hour hackathon and a one-day tech fest. Managed event activities and supported smooth execution of technical and cultural segments.

Awarded by Blink Foundation & DIYA (sponsored by Intel) for completing the Data Analytics Program — covering Python fundamentals, ML concepts like clustering, logistic regression and OLS, along with hands-on data handling and analysis using Google Colab.

Completed the HP LIFE online course by HP Foundation on Data Science & Analytics — covering leading data-driven practices, methodologies and tools, along with essential skills required to pursue a career in the field.

Completed all 6 subjects of the VTU Honors Degree program with 18+ credits, specializing in advanced Information Science topics beyond the core curriculum.

Awarded by IBM SkillsBuild for successfully completing Web Development Fundamentals — covering core web technologies, front-end development principles and professional excellence in modern web practices.