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Full Stack Engineer with 4+ years in React, Node.js & AWS
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Assessing your cultural and operational fit
Full Stack Developer with 4+ years of experience architecting and shipping production-grade web applications using React.js, Next.js, Node.js, and Express.js. Delivered measurable results: 15% reduction in API latency, 20% faster database query performance, and 40% reduction in manual operational overhead through automation. Proven ability to own projects end-to-end - from system design and database architecture to AWS deployment. Experienced in payment gateway integrations (Stripe, PayPal), JWT/OAuth 2.0 security, and leading Agile/Scrum teams including mentoring junior developers.
Shivaji Rao Kadam Institute of Technology and Management, Indore
Bachelor of Engineering · Computer Science
August 1, 2018 – June 30, 2022
Mango IT Solutions
Full Stack Developer
February 1, 2022 – March 1, 2026
Indore, Madhya Pradesh, India
Gromadzki Real Estate
May 1, 2025 – October 1, 2025
Designed a scalable Real Estate platform REST API with Repository Pattern, 19 DB migrations, custom RBAC, and 12-parameter property search, supporting up to 10,000 monthly active users. Built a Next.js 14 SSR/SSG frontend with Google interactive maps and Redux Toolkit for seamless property browsing. Integrated Elasticsearch to accelerate multi-parameter property searches, achieving query response times under 200ms and supporting 100+ concurrent users; configured CI/CD pipelines with GitHub Actions to automate deployments and maintain 99.9% platform uptime.
Mowing & Plowing
January 1, 2024 – December 1, 2024
Built 20+ REST APIs supporting Flutter mobile apps and a React.js admin panel, integrated Stripe Connect for secure payments and automated provider payouts, and Twilio for SMS dispatch. Implemented Pusher for real-time job notifications reducing response time by 40%, and advanced scheduling algorithms to automate dispatch and job assignment, improving job allocation efficiency by 35%. Streamlined service delivery for seasonal operations, reducing manual scheduling by 50% through automated workflows and intelligent routing.
View ProjectCultural Fit Analysis
The candidate's experience across multiple professional projects (Gromadzki Real Estate, Mowing & Plowing) and their role at Mango IT Solutions indicates adaptability and a breadth of experience in different problem domains. Their involvement in Agile teams and mentoring junior developers suggests a collaborative and growth-oriented mindset, which aligns well with a dynamic team culture. The diverse set of technologies and problem-solving approaches used across projects indicates a willingness to learn and apply new tools, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership potential through mentoring junior developers and leading sprint planning. Their experience in owning end-to-end product delivery and managing cross-functional stakeholders indicates good project management and collaboration skills. The focus on measurable results (e.g., API latency reduction, query performance improvement) suggests a results-oriented and analytical approach. The candidate's ability to streamline operations through automation (e.g., scheduling algorithms, CI/CD) points to an efficiency-driven mindset.