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Senior Mern Developer with 1+ years in Node.js, React, and MongoDB
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven MERN Stack Developer with 1.5+ years of experience building scalable, full-stack web applications using MongoDB, Express.js, React, and Node.js. Proven expertise in RESTful API and GraphQL development, NoSQL/relational database design, AWS cloud integration, and CI/CD pipelines. Passionate about delivering high-performance, user-centric applications in Agile environments with clean, maintainable code and robust testing practices.
Savitribai Phule Pune University
Bachelor of Engineering · Computer Engineering
August 1, 2019 – April 1, 2023
Techbulls Soft Tech Pvt. Ltd.
MERN Stack Developer
August 1, 2024 – Present
Pune, Maharashtra, India
MERN-Based Loan Origination System
June 29, 2026 – Present
Architected end-to-end MERN stack LOS managing complete loan lifecycle from lead generation to disbursement, automating 95% of workflows with dynamic React UI and Express.js microservices backend. Built eKYC verification module with OCR integration supporting 5 document types, reducing manual verification time by 70%; implemented Redis caching layer achieving 80% cache hit ratio on frequent MongoDB queries. Designed AWS S3 document vault with pre-signed URL generation and 256-bit encryption; used Mongoose aggregation pipelines for real-time collateral valuation and loan approval rule engine.
Enterprise Document Management Platform
June 29, 2026 – Present
Developed full-stack DMS with React 18+ TypeScript frontend and Node.js/Express.js backend, processing 1,000+ documents daily with version control, audit trails, and granular RBAC for 50+ concurrent users. Architected 34+ RESTful APIs with rate limiting, input validation, and centralized error handling achieving sub-200ms response times; integrated PDF.js for in-browser viewing and multi-channel notifications (email/SMS). Implemented hybrid database strategy using MongoDB for document metadata and PostgreSQL for transactional records; integrated external APIs (NSDL, MCA) with 15+ customizable compliance report formats.
Intelligent SQL Query Builder & Analytics Platform
June 29, 2026 – Present
Built full-stack query generation platform with drag-and-drop React interface and Node.js backend supporting multi-database connections (PostgreSQL, MySQL, Oracle), reducing query development time by 65%. Engineered query optimizer with execution plan analysis and index recommendations improving performance by 45%; developed data export pipeline supporting CSV, Excel, JSON, and XML with audit logging.
Real-Time Business Intelligence Dashboard
June 29, 2026 – Present
Architected real-time BI platform with React frontend and Node.js/Express.js microservices processing 50,000+ daily transactions; implemented 20+ interactive ApexCharts visualizations with Redux state management. Built high-performance MongoDB aggregation pipelines with Redis caching reducing data refresh time from 15 minutes to 2 minutes; deployed via Docker and Jenkins CI/CD across Dev/QA/UAT/Production environments.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of experience across different domains (finance, document management, analytics) and technologies within the MERN ecosystem. The focus on building scalable, high-performance, and secure applications aligns well with typical senior developer expectations. The mention of Agile/Scrum collaboration suggests a fit for modern development environments. The diversity of projects and technologies used indicates adaptability and a willingness to tackle varied challenges, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration in Agile/Scrum teams, suggesting good teamwork and operational fit. The detailed project descriptions imply strong problem-solving and architectural thinking. However, without direct assessment data on communication or psychometric traits, a comprehensive evaluation of soft skills and operational fit is limited.