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Fullstack Engineer with less than a year in React.js, Python, & AI/ML
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Assessing your cultural and operational fit
Results-driven fresher and Full-Stack Developer with a Master of Computer Applications (MCA, 2026) and hands-on experience building responsive web and mobile applications using React.js, Python, and FastAPI. Proficient in integrating front-end components with REST APIs, writing reusable and testable code, and working with relational databases (MySQL, SQLite3). Familiar with JavaScript frameworks, version control (Git/GitHub), and Agile development practices. Strong problem-solving skills, excellent communication, and a collaborative team mindset. Eager to contribute to end-to-end software development at a fast-paced technology company.
Sant Gajanan Maharaj College of Engineering
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Shivaji University, Kolhapur
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2023
Student Result Management System
June 24, 2026 – Present
Developed an automated Python system that reduced manual result processing time by 40% through streamlined data ingestion and report generation. Built user-friendly interfaces to display, filter, and download student results with responsive design principles. Debugged and fixed bugs in the existing processing pipeline, improving accuracy and reliability of output. Implemented reusable Python functions for data validation and report generation for future scalability.
Election & Voting Management System
June 24, 2026 – Present
Digitized voting workflows with Python and SQLite3, implementing secure user authentication and role-based access control. Developed responsive UI screens for voter registration, ballot casting, and live results dashboard. Ensured data integrity through structured database design and input validation modules.
Chilling Center Management System
June 24, 2026 – Present
Built a Java and MySQL desktop application for dairy inventory management and temperature monitoring with CRUD operations. Designed reusable UI components for inventory entry, reporting, and role-based access for center staff. Collaborated with team members to define requirements and deliver a working application within the project timeline.
Adaptive Assessment System for Slow and Fast Learners
September 1, 2025 – November 1, 2025
Designed and developed a responsive React.js dashboard enabling students and educators to interact with adaptive learning content across web interfaces. Built and tested FastAPI backend with RESTful API endpoints handling learner classification, course management, and material uploads. Integrated a machine learning model that classifies learners (slow/fast) and generates AI-powered suggestions to personalize study plans. Designed normalized MySQL database schema supporting real-time analytics, user roles, and content management. Participated in full product lifecycle: requirement gathering, design, development, testing, and deployment. Wrote reusable and modular Python and React components, improving maintainability and code reuse across the application.
Data Analytics Job Simulation
Deloitte
July 1, 2025 – Present
Python for Data Science
NPTEL IIT Madras
July 1, 2025 – Present
Python Course
Ethans Tech
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of skills across frontend, backend, and database technologies, indicating adaptability and a willingness to explore different areas. The projects also show an interest in practical applications (e.g., adaptive learning, result management, voting systems). The pursuit of a Master's degree while having completed a Bachelor's in Computer Science, along with multiple certifications, suggests a strong drive for continuous learning and self-improvement, which aligns well with a growth-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from academic engagement and stated soft skills.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills, excellent communication, and a collaborative team mindset. Participation in full product lifecycles and effective collaboration in team environments suggest a good operational fit. The emphasis on reusable, testable code and continuous learning indicates a proactive and quality-oriented approach.