AI Engineer with less than a year in AI/ML and Java.
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Artificial Intelligence and Machine Learning engineering student with hands-on experience across machine learning, computer vision, and full-stack web development. Built and deployed AI-powered applications, including a YOLOv11-based plant disease detection system (83% accuracy) and a Django-based recipe recommendation platform. Completed internships in Java full-stack development and Android application development with Generative AI integration. Proficient in Python, Java, Django, REST APIs, and SQL, with growing experience in agentic AI and large language model (LLM) integration. Seeking to apply strong technical and problem-solving skills to AI/ML and full-stack engineering roles.
Shri Madhwa Vadiraja Institute of Technology and Management
Bachelor of Engineering · Artificial Intelligence and Machine Learning
January 1, 2022 – January 1, 2026
Govt. Pre-University College, Navunda
Pre-University Education
January 1, 2020 – January 1, 2022
Kodnest Technologies Pvt. Ltd.
Java Full-Stack Developer Intern
February 1, 2026 – June 1, 2026
India
MindMatrix
Android App Development (GenAI) Intern
February 1, 2026 – May 1, 2026
India
Agentic AI Web Application — HACKOTSAVA 2025 National-Level Hackathon
January 1, 2025 – January 1, 2025
Built an agentic AI web application at HACKOTSAVA 2025, a national-level hackathon hosted by SMVITM, integrating the Gemini API to power autonomous, task-driven AI interactions within a tight hackathon timeframe.
CapsiGuard - Smart Plant Disease Detection
June 1, 2024 – June 1, 2026
Engineered an AI-powered plant disease detection system using YOLOv11, achieving 83% classification accuracy across 4 disease categories, trained on a dataset of approximately 5,000 leaf images using preprocessing and augmentation techniques. Built a Django-based web application with an HTML/CSS/JavaScript front end, enabling users to upload leaf images and receive real-time disease predictions.
View ProjectRecipeBook - Recipe Recommendation System
June 1, 2024 – June 1, 2026
Developed a full-stack recipe recommendation web application with a MySQL-backed database of 100-200 recipes, suggesting dishes based on user preferences and available ingredients, with dynamic search and multi-criteria filtering for fast discovery. Designed the relational database schema and backend logic using Django to manage recipe, ingredient, and user data.
Learning C Programming
CodeChef
January 1, 2025 – Present
Python Programming: Basics to Advanced Workshop
Kakunje Software
January 1, 2025 – Present
HACKOTSAVA 2025 National-Level Hackathon
SMVITM
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational experience in AI/ML and full-stack development, aligning well with an AI Engineer role. The diversity of projects (plant disease detection, recipe recommendation, agentic AI app) and exposure to different technologies (Python, Java, Kotlin, Django, React, Android) suggest adaptability and a willingness to learn new tools. The hackathon participation further highlights initiative and a collaborative spirit, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical challenges, manage project scope (e.g., dataset size, accuracy targets), and integrate various technologies. Participation in a hackathon suggests good problem-solving skills under time constraints. The descriptions are clear, indicating good communication skills for technical documentation.