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Full Stack Engineer with less than a year in Next.js and Node.js development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Shreyas Wani is an enthusiastic Full Stack Intern with approximately 1 year of experience in developing scalable web applications. Proficient in Next.js, Node.js, React, and database technologies like Supabase and PostgreSQL, Shreyas has contributed to building multi-role platforms and high-traffic URL shorteners. With a strong grasp of system design principles and a track record of enhancing user experience and system reliability, Shreyas is passionate about creating robust and efficient software solutions.
DR D Y PATIL INSTITUTE OF TECHNOLOGY, PIMPRI
BACHELOR OF ENGINEERING · Computer Engineering
November 1, 2022 – Present
ZETTABYTE PLUS
FULL STACK INTERN
June 1, 2025 – Present
India
URL SHORTENER PROJECT
February 1, 2025 – April 30, 2025
Architected a production-grade URL shortening platform designed for scalability, efficiently handling over 1M concurrent users while maintaining low-latency redirects and high system availability. Enhanced performance and reliability by integrating Redis for caching and hit tracking, reducing database load by 70% and ensuring consistent response times under heavy traffic. Applied practical system design principles like optimized data modeling, Base62 key generation, and rate limiting to ensure scalable performance, consistent throughput, and reliable user experience under real-world load.
NEXTLEVEL FOOD
November 1, 2024 – January 31, 2025
Built a responsive recipe-sharing platform that promotes community engagement and seamless user experience across devices, focusing on accessibility and scalability. Leveraged Supabase Storage (PostgreSQL + Storage) and optimized image handling to deliver fast uploads and smooth browsing, reducing load times and improving overall content experience. Enhanced user experience and platform reliability with real-time loading states, error recovery, and smooth navigation, reflecting production-grade usability and performance standards.
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying new technologies, which aligns well with a dynamic engineering culture. The diversity of projects (URL shortener, recipe platform, audit management) shows a breadth of interest and ability to tackle different problem domains. The focus on scalability and performance in personal projects suggests a drive for high-quality engineering. The internship experience in a full-stack role directly aligns with the target role, indicating a good cultural and role fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to focus on user experience, system reliability, and scalability, which are positive indicators for operational fit. The description of building a multi-role platform suggests an understanding of complex user requirements and coordination. However, without direct assessment data on collaboration or problem-solving in a team setting, a comprehensive evaluation of soft skills is limited.