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Full Stack Engineer with 1+ years in Java, Python, React, and ML
MCA graduate with a strong foundation in software development, full-stack web technologies, and machine learning. Experienced in building scalable applications using Java, Spring Boot, React, and MongoDB, along with developing data-driven ML models for real-world problem solving. Skilled in REST API development, database management, and software testing with hands-on internship experience at Vcodify. Passionate about applying programming, analytical thinking, and problem-solving skills to develop efficient and reliable software solutions in a growth-oriented organization.
REVA University
Master of Computer Applications - MCA
August 1, 2022 – June 30, 2024
REVA University
Bachelor of Computer Applications - BCA
August 1, 2019 – June 30, 2022
Vcodify
Full Stack Developer Intern
April 1, 2025 – July 1, 2025
India
Infidata Technologies
Machine Learning Intern
July 1, 2024 – September 1, 2024
Bengaluru, Karnataka, India
Banking Management System Using Java
June 21, 2026 – Present
Built a console-based banking application using Java and Object-Oriented Programming principles, implementing core features such as account creation, deposits, withdrawals, balance enquiry, and transaction management. Applied SonarLint for code quality analysis and refactored code to improve readability, maintainability, and adherence to best coding practices. Performed modular unit testing to validate transaction workflows and ensure system stability and reliability.
Machine Learning-Based Crop Recommendation System
June 21, 2026 – Present
Developed a data-driven crop recommendation system using Python and machine learning algorithms including XGBoost, SVM, and Random Forest to analyze 7 key agricultural parameters across 22 crop categories. Performed data preprocessing, feature engineering, and scaling techniques, and evaluated multiple machine learning models to optimize prediction performance. Published and presented the research work at the International Conference on Intelligent Computing, IoT and Data Analytics (ICICTA 2024).
Text-Based Language Identification System Using NLP Techniques
June 21, 2026 – Present
Developed a Natural Language Processing (NLP) text classification model using Python and Scikit-learn for language identification across 17 languages, including English, Hindi, Kannada, French, and Spanish. Implemented and evaluated multiple machine learning algorithms to optimize performance, including data preprocessing steps such as duplicate removal (66 entries), label encoding, and feature extraction.
Cisco Certified Cybersecurity Support Technician
Cisco
June 1, 2026 – Present
Database Administration Fundamentals by Microsoft Technology
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning full-stack development and machine learning, indicates a broad interest in technology and adaptability. The academic projects and internships align with a junior to mid-level Full Stack Engineer role, showing a foundational understanding of relevant technologies. The certifications in cybersecurity, database administration, and Azure AI fundamentals suggest a proactive approach to learning and skill development, which is a positive cultural indicator for continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail through code quality analysis (SonarLint) and thorough API testing (Postman). Project descriptions indicate problem-solving skills and an analytical approach, particularly in machine learning contexts. The academic projects and internship experiences suggest a capacity for quick learning and teamwork, aligning with a growth-oriented organization.