About
Recent Information Technology graduate with hands-on experience in full-stack development using Java, React.js, Node.js, Express.js, MySQL, and MongoDB. Builds responsive, databas-e-driven web applications and is familiar with Git, GitHub, and VS Code.
Experience
-
Web Development InternOrigin Software Solutions Pvt. Ltd. · NashikSep 2023 – —
Performed application testing, debugging, data validation, and SQL-based database checks for web applications. Worked on 15+ test cases and assisted in identifying and resolving application issues. Used Java, MySQL, SQL, HTML, CSS, JavaScript, and Bootstrap for development and troubleshooting.
-
Development InternAnvistar ITS Pvt. Ltd. · PuneJun 2023 – —
Developed responsive web pages using HTML, CSS, and JavaScript, focusing on clean layout, usability, and consistent presentation. Assisted in implementing and debugging website features, improving UI responsiveness and cross-browser compatibility. Technologies / Skills Used: HTML, CSS, JavaScript, Bootstrap, MySQL, JSP, Java.
Education
-
2026
Bachelor of Engineering (Information Technology)Sinhgad College of EngineeringInformation Technology · 2023 – 2026
-
2023
Diploma in Computer TechnologySanjivani K.B.P. PolytechnicComputer Technology · 2021 – 2023
Skills
Tools / apps / platforms
Languages
Projects
-
Java, JSP, MySQL
Developed a web-based CRM application for managing employee, administrative, salary, and payment records. Designed the database schema and implemented SQL queries for efficient data storage and retrieval. Developed frontend and backend workflows for administrative operations and data management.
-
Flask, SQLAlchemy, TensorFlow, scikit-learn, Python, AI/ML, database
Developed a full-stack AI-powered agriculture web application using Flask, SQLAlchemy, and TensorFlow, featuring user authentication and responsive interfaces. Built and integrated a Random Forest crop recommendation model using soil and environmental parameters. Developed a CNN-based plant disease detection model using the PlantVillage dataset to classify 15 disease categories from leaf images. Implemented application features including weather insights, market price tracking, fertilizer recommendations, and disease detection. Integrated AI-based functionality to provide agriculture-related assistance and user interactions.
🏆 Achievements & awards
-
2nd Runner-up at MAP-FEST
State Level Project Competition.
-
Participant in LoGMIEER Techfest 2k23
National Level Tech Fest.
⚽ Extracurricular activities
-
Student committee participation
Actively participated in student committees during Diploma and B.E., enhancing team collaboration, event coordination, and communication skills.
-
Kho-Kho
Competed at the district level.
-
Volleyball
Engaged in volleyball.