MERN Stack Developer with 3+ years in AI-powered Recruitment Platforms & Scalable Web Applications
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MERN Stack Developer with over 3 years of experience building scalable, high-performance web applications using React.js, Next.js, Node.js, Express.js, Nest.js, MongoDB, PostgreSQL, GraphQL, Redis, and TypeScript. Experienced in Backend Architecture, REST API Development, GraphQL Services, Database Design, Authentication & Authorization, Performance Optimization, and Scalable Application Development. Hands-on experience building AI-Powered Recruitment Platforms, AI Screening Modules, Candidate Evaluation Workflows, and Workflow Automation Solutions. Actively leverage GitHub Copilot, Cursor AI, and AI-Assisted Development Workflows for code generation, debugging, refactoring, testing, and productivity improvement.
Masai School
Full Stack Web Development program · Web Development
August 1, 2021 – June 30, 2022
Marathwada Mitra Mandal Institute of Technology, Pune
Bachelor of Engineering · Engineering
August 1, 2017 – June 30, 2021
Successive Technologies
MERN Stack Developer
August 1, 2025 – Present
Pune, Maharashtra, India
Shaleemar IT Solutions
MERN Stack Developer
August 1, 2024 – July 1, 2025
Pune, Maharashtra, India
Metamind System
MERN Stack Developer
February 1, 2023 – August 1, 2024
Pune, Maharashtra, India
AI Talent Acquisition
August 1, 2025 – Present
Developed an AI-powered recruitment platform that supports job management, candidate tracking, interview scheduling, and analytics. It includes AI-based JD matching and candidate ranking workflows, AI voice-screening modules, and integrates resume parsing and automated profile extraction. Real-time dashboards provide recruitment insights and operational analytics.
Audience Builder
August 1, 2025 – Present
Developed scalable GraphQL services and backend integrations for audience activation workflows. Built a multi-audience publishing architecture for simultaneous campaign deployment across Amazon, Facebook, and Instagram. Integrated Merkury identity and audience services for advanced customer segmentation. Optimized API performance and data retrieval using caching and query optimization.
Digital Lost & Found System
August 1, 2024 – July 1, 2025
Led the development of a high-availability system with scalable architecture for public event management. Architected a real-time data processing system using Node.js, PostgreSQL, and Redis. Implemented AI-based identification workflows and optimized search indexing. Designed centralized dashboards with real-time synchronization using WebSockets. Automated reporting workflows, reducing manual effort by 70%.
File Management System
February 1, 2023 – August 1, 2024
Built role-based dashboards and workflow automation systems. Implemented GraphQL APIs and multi-stage validation pipelines. Designed JWT-based authentication and RBAC authorization. Developed multi-step workflows for file processing, validation, and management. Led the redesign and redevelopment of a corporate website, optimizing it with lazy loading, caching, and efficient asset management, enhancing SEO and cross-device compatibility.
View ProjectCompany Website Redesign
February 1, 2023 – August 1, 2024
Led redesign and redevelopment of a corporate website using React.js and Next.js, improving performance and modernizing UI/UX. Optimized the application using lazy loading, caching, and efficient asset management, improving page load time by 40%. Enhanced SEO, responsiveness, and cross-device compatibility, increasing user engagement by 90%. Improved overall user experience through optimized rendering and component structure.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered recruitment platforms and audience builders to digital lost & found systems and file management, indicates a broad interest and adaptability to different business domains. Their consistent role as a MERN Stack Developer across multiple companies aligns well with the target role. The breadth of skills, including various frontend frameworks, backend technologies, databases, and DevOps tools, suggests a versatile and continuous learning mindset, which is a strong cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills through leading project development, collaborating with cross-functional teams, and participating in pull request reviews. Their experience in Agile/Scrum environments indicates good operational fit for structured development teams. The emphasis on improving debugging workflows and reducing production issue resolution time suggests a proactive and problem-solving mindset. The use of AI-assisted development tools also points to an adaptive and efficiency-driven approach.