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Software Engineer with 1+ years in Java, Spring Boot, and Cloud Platforms
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Assessing your cultural and operational fit
Highly motivated Software Engineer with 1.25 years of experience in developing robust backend functionalities and managing cloud environments. Proficient in Java, Spring Boot, Flutter, and various cloud platforms like AWS and GCP. Proven ability to build scalable applications, optimize database performance, and automate deployment workflows, with a strong focus on data consistency and user experience.
Charotar University of Science and Technology
Bachelor of Technology · Computer Engineering
August 1, 2021 – June 30, 2025
Crest Data
Software Engineer
January 1, 2025 – February 1, 2026
Ahmedabad, Gujarat, India
Appsynergies
Flutter Developer - Intern
June 1, 2024 – July 1, 2024
United Kingdom
Tuition Class Application
June 28, 2026 – Present
Developed a Flutter-based tuition class management app for 100+ students, integrating administrative and student functionalities, with Firebase Authentication, Firestore Database, and Firebase Storage for secure data and file management, ZegoCloud API for live classes, and Google Sheets API to efficiently manage and track exam marks.
View ProjectMovie Ticket Booking Application
March 1, 2026 – April 1, 2026
Built a Theatre Management System using Java 17, Spring Boot 3, and Spring Security with JWT-based RBAC to secure three interconnected modules — an admin console, a theatre manager console, and a user portal supporting 300+ concurrent users and 1000+ simultaneous ticket bookings. Engineered a high-concurrency seat locking system using Redis(TTL 300s) to prevent race conditions, implemented a real-time state machine where a seat transitions to "Checkout" state in <250ms, visually alerting hundreds of concurrent users to avoid duplicate booking attempts. Guaranteed 100% data consistency during high traffic by leveraging MongoDB optimistic locking (@Version) and atomic transactions (@Transactional), ensuring that once a seat is booked within the 5-minute window, it is physically impossible for another user to claim it. Maximized system throughput and reduced data latency to <30ms by architecting a high-speed Redis memory tier (@Cacheable) alongside a structurally optimized MongoDB schema using compound indexes and database references (@DBRef), seamlessly resolving complex theatrical scheduling conflicts and seat availability queries. Deployed the full-stack application on AWS EC2 (t3.micro), with secure configuration management and a distributed data layer (Redis Cloud + MongoDB Atlas), supporting 300+ concurrent users and 100+ Requests Per Second(RPS) with consistent sub-50ms API response times.
Cultural Fit Analysis
The candidate's involvement in competitive programming and diverse personal projects (movie booking, tuition app) suggests a strong drive for continuous learning and a passion for technology, which aligns well with a dynamic engineering culture. The experience with both backend and mobile development, along with exposure to various cloud and DevOps tools, indicates a versatile individual who can contribute across different areas. The detailed project descriptions highlight a focus on robust, scalable, and performant solutions, which is a positive cultural indicator for a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through competitive programming achievements and practical application in projects. The detailed descriptions of project challenges and solutions indicate a proactive and analytical approach. Experience with CI/CD and cloud environments suggests an operational mindset suitable for modern development teams. The candidate's ability to work on diverse projects (backend, mobile, high-concurrency systems) indicates adaptability and a broad technical interest.