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Full Stack Engineer with 4+ years in cloud-native & AI-augmented systems.
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Full-Stack Engineer with 4+ years of hands-on expertise engineering scalable, cloud-native web applications and distributed systems. Expert in driving technical architecture across the MERN stack, Next.js, and Python, optimizing database latency, and deploying serverless infrastructure on AWS and GCP. Skilled at building backend services and automation in Python alongside Node.js, and embedding AI-assisted development tools such as Claude Code, Claude AI, GitHub Copilot, ChatGPT, and Grok AI into everyday engineering to accelerate delivery, automate code review, and improve engineering quality. Proven track record of transitioning from core development to technical leadership, managing asynchronous remote teams, and delivering high-availability software solutions for global markets.
DDBK College (Matushree Dudhiben Dayabhai Bhimani & Kashiben Naranbhai Gevariya)
Bachelor of Commerce
August 1, 2021 – June 30, 2024
Virtueaze
Full-Stack Engineer
May 1, 2022 – Present
Ahmedabad, Gujarat, India
CollabStack Team Collaboration & Knowledge-Sharing Tool
July 1, 2025 – June 30, 2026
Created a Slack-style real-time collaboration workspace with React.js, TypeScript, and Material UI, supporting threaded conversations and asynchronous file sharing. Built a chat backend with Node.js, Python, Express.js, and Firebase secured by strict role-based access, using PostgreSQL for persistent message storage. Integrated Redis for real-time chat performance and Google Cloud Storage for scalable file uploads with markdown-based rich-text editing.
TaskForge Enterprise Task & Workflow Automation System
July 1, 2024 – March 1, 2025
Developed a modular task-management system using React.js, Next.js, and Tailwind CSS, featuring interactive Kanban boards, recurring tasks, and automated reminders. Built RESTful backend APIs with Node.js, Express.js, and Python (FastAPI), using PostgreSQL for relational task data and Redis for rapid activity-feed rendering, handling 1,000+ concurrent users. Integrated Firebase Functions for automation triggers (due-date alerts, user assignments) and deployed via Docker on AWS Lambda and EC2 with GitHub Actions CI/CD.
TradeHub Multi-Currency E-Commerce & Payment Gateway
October 1, 2023 – June 1, 2024
Developed a dynamic global e-commerce storefront using React.js, Next.js, and Tailwind CSS with real-time product inventory views. Built scalable Node.js and Python microservices integrated with MongoDB and MySQL, optimized for large-scale concurrent transactions, processing 5,000+ orders daily. Implemented live order tracking with Socket.IO and Redis caching for instant feedback, and automated deployments across AWS EC2, RDS, and S3 achieving consistently high uptime.
MedVault Digital Health Records Platform
May 1, 2022 – August 1, 2023
Built a secure, HIPAA-compliant digital-health portal using React.js, Next.js, Node.js, and Python, deployed via Docker and AWS Lambda. Integrated Firebase Auth with JWT and 2FA for secure role-based access across doctor, patient, and admin roles. Modeled structured health data in PostgreSQL with Redis for quick appointment lookups and processed 10,000+ documents and lab reports monthly via AWS S3.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from digital health to e-commerce and collaboration tools, indicates adaptability and a broad interest in various domains. Their experience in a leadership role within a remote team suggests strong self-management and communication skills crucial for distributed work environments. The emphasis on AI-assisted development and continuous integration aligns with modern, agile development cultures that value innovation and efficiency. The breadth of technologies used (MERN, Python, various databases, cloud platforms) shows a willingness to learn and apply different tools, contributing to a versatile team dynamic.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring abilities, as evidenced by their role in orchestrating and leading a distributed engineering squad. Their experience with Agile/Scrum frameworks indicates good team collaboration and iterative development practices. The focus on optimizing server costs and streamlining deployment cycles suggests a pragmatic and efficiency-oriented approach. The integration of AI-assisted development tools highlights adaptability and a forward-thinking mindset.