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AI Engineer with 1+ years in Java, SQL & Web Technologies
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AI & Data Science graduate with strong proficiency in Java, SQL, OOP, database design, and web technologies. Hands-on experience building Java applications, data-driven web platforms, and SQL analytics solutions using optimized queries, modular design, and SDLC best practices. Skilled in data analysis, application debugging, and scalable system design.
DKTE, Ichalkaranji (Shivaji University Kolhapur)
Bachelors of Technology · Computer Science Engineering (AI & Data Science)
August 1, 2021 – June 30, 2025
Rajat Junior College, Hupari, Kolhapur
HSC & SSC
June 1, 2020 – May 31, 2021
Laxmi Devi Girls High School, Hupari, Kolhapur
HSC & SSC
June 1, 2018 – May 31, 2019
Atm Management System
October 1, 2025 – December 31, 2025
Developed a console-based ATM management system replicating real banking operations. Implemented secure PIN-based authentication, account verification, and session handling mechanisms. Enabled core functionalities such as balance inquiry, cash withdrawal, deposit, and mini-statement generation. Used exception handling to manage edge cases including insufficient balance, invalid credentials, and transaction limit.
Order Management System
July 1, 2025 – September 30, 2025
Designed and implemented a Java-based order management system handling order creation, modification, billing, and lifecycle tracking. Applied object-oriented principles including abstraction, encapsulation, inheritance, and polymorphism for clean architecture. Implemented business rules for pricing, discounts, and tax calculation to simulate real-world order processing. Integrated exception handling and input validation to prevent data inconsistencies and runtime failures. Structured modular classes and reusable components.
Branch Prediction System
November 1, 2024 – June 30, 2024
Architected and developed a web-based decision support system to predict engineering branches and colleges using historical CET cut-off datasets. Processed multi-year admission data considering reservation categories, domicile rules, gender-based quotas, and merit rankings. Built separate Admin and Student dashboards to manage datasets, prediction rules, and personalized recommendations. Improved counseling accuracy and reduced manual dependency by automating eligibility evaluation and result generation. Enhanced usability through structured data visualization and responsive UI design.
Online Bus Pass Management System
March 1, 2024 – June 30, 2024
Designed and developed a scalable web-based SaaS platform for digital bus pass issuance and management. Implemented role-based access control for students, administrators, and verification officers. Automated bus pass application, renewal, approval workflows, and rejection handling. Integrated QR-code-based verification system to reduce fraud and ensure fast validation. Enabled secure document upload, online payment processing, and real-time notification alerts. Significantly reduced processing time and paperwork through end-to-end digital automation.
Core Java Training Certificate
IIT Bombay Spoken Tutorial
June 1, 2026 – Present
Java Full Stack Course
QSpiders Deccan
June 1, 2026 – Present
Power BI Job Simulation
PWC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interests from core Java applications to web-based decision support systems and management platforms. Involvement in various college activities (technical events, software development club, AI student association, hackathons) indicates a proactive and collaborative attitude, which aligns with a positive cultural fit. The focus on AI & Data Science in education and projects also aligns with an AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, apply object-oriented principles, and handle exception cases. Participation in technical events and clubs suggests teamwork and leadership potential. However, without direct work experience, operational fit in a professional setting is difficult to fully assess.