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Fullstack Engineer with 9+ years in Node.js & AWS
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FullStack Engineer with 9+ years of experience in backend focused development (Node.js, Express.js, React.js, MySQL, AWS). Expertise in building scalable microservices, RESTful APIs, and MERN stack applications with MySQL/MongoDB, delivering high-performance, cloud-ready solutions.
Welingkar Institute
MBA/PGDM
August 1, 2022 – June 30, 2022
Mumbai University
B.Sc. IT · Information Technology
August 1, 2012 – June 30, 2015
Maharashtra Board
HSC Science · Science
June 1, 2010 – May 31, 2012
Maharashtra Board
SSC
N/A – May 31, 2010
Harman
Senior FullStack Engineer & Lead
August 1, 2023 – Present
India
Harbinger Group
Senior FullStack Engineer & Lead
March 1, 2023 – August 1, 2025
India
Medikabazaar
Backend Lead
April 1, 2022 – February 1, 2023
India
Vserv Digital Services
Senior Software Engineer
June 1, 2021 – April 1, 2022
India
Thinkwalnut Digital
Software Engineer
February 1, 2020 – June 1, 2021
India
Thinkwalnut Digital
Software Engineer
September 1, 2016 – July 1, 2019
India
SLL & INN Learning platform (Harbinger Group)
June 15, 2026 – Present
Developed a scalable learning management platform supporting courses, learning paths, assignments, assessments, and integrated business analytics, designed for enterprise deployment. Key Contributions: Designed and developed course, learning path, assignment, and assessment modules. Implemented interactive exercises, quizzes, and automated grading with learner progress tracking. Built role-based access control and modular microservices architecture for scalability. Integrated Stripe payment system for subscriptions and course purchases. Developed analytics dashboards and reporting tools for instructors to monitor learner progress and engagement. Optimized system for enterprise-grade scalability and reliability on cloud infrastructure.
Auction platform (Harbinger Group)
June 15, 2026 – Present
Developed a comprehensive auction platform enabling clients to participate in real-time bidding with support for multi-language accessibility to cater to global users. The system was built with a Node.js backend and React.js frontend, leveraging a microservices architecture to ensure scalability, maintainability, and modularity. Implemented complex mathematical auction algorithms to handle dynamic bidding, price calculations, and winner determination with high accuracy and performance. The platform was designed with role-based access control, providing distinct permissions for admins, sellers, and bidders, ensuring secure and controlled interactions. Backend services were optimized using stored procedures for high-performance database operations. The solution was deployed on AWS cloud services, leveraging hosting, storage, and CI/CD pipelines for reliable and scalable deployments. The system ensures a responsive and seamless user experience even under heavy traffic and concurrent auctions. Key Contributions: Architected & Developed the platform using Node.js, React.js, and microservices, ensuring scalability and maintainability. Implemented complex auction algorithms for real-time dynamic bidding, price adjustments, and winner determination. Designed and integrated role-based access control (RBAC) for admins, sellers, and bidders to ensure secure and structured interactions. Optimized database performance by using stored procedures and query tuning for efficient real-time data handling. Leveraged AWS cloud services for hosting, storage, and deployment, ensuring system reliability and scalability under high concurrency. Enhanced user experience by building a responsive, multilingual interface for global accessibility. Ensured high system performance through load testing, concurrency handling, and fine-tuning backend services.
Warehouse Management System (Medikabazaar)
June 15, 2026 – Present
Developed a scalable backend system for a large-scale warehouse platform, supporting multiple modules including Cataloging, Attributes, Categories, Warehouse, Order Management System, Finance System, and more. The backend was built with Node.js and designed to handle high-volume transactions and complex business workflows efficiently. Integrated MySQL as the primary relational database for structured data, while MongoDB was used to manage and store extensive log data. Implemented Elasticsearch to power advanced product search and filtering capabilities, ensuring fast and accurate search results for end-users. For deployment and scalability, the platform was containerized with Docker and orchestrated using Kubernetes, enabling seamless roll outs, high availability, and efficient resource management. Key Contributions: Designed and implemented core backend modules such as cataloging, categories, order management, and finance using Node.js and microservices principles. Optimized relational data handling with MySQL, ensuring consistency, transactional integrity, and performance tuning for large datasets. Integrated MongoDB for log data storage, enabling efficient tracking, monitoring, and troubleshooting of system events. Implemented Elasticsearch to deliver a powerful and responsive product search engine with advanced filtering and ranking capabilities. Containerized services with Docker and deployed on Kubernetes, achieving scalability, fault tolerance, and CI/CD-based deployments. Ensured system reliability and performance through load testing, monitoring, and automated scaling strategies.
Digital Marketing Application (Vserv Digital Services)
June 15, 2026 – Present
Developed a full-stack digital marketing platform to manage campaigns, track performance metrics, and automate workflows across multiple channels including Email, Social Media, and SMS. The platform delivered real-time analytics, reporting, and personalized recommendations to help clients optimize campaign effectiveness. It supported multi-tenant architecture for multiple clients, included role-based access control (Admin, Manager, Analyst), and ensured secure operations through activity tracking and audit logs. Real-time dashboards and exportable reports (CSV/PDF) provided actionable insights, while basic audience segmentation powered personalized recommendations. Key Contributions: Built end-to-end campaign management modules enabling creation, scheduling, and tracking across email, SMS, and social media channels. Designed real-time dashboards with KPIs such as open rates, CTR, and ROI, ensuring data-driven decision-making. Implemented workflow automation for email triggers, push notifications, and social posts to reduce manual effort. Developed exportable reporting system (CSV/PDF) for campaign insights and performance sharing with stakeholders. Integrated machine learning algorithms for audience segmentation and personalized marketing recommendations. Implemented multi-tenant support with robust role-based access control and detailed audit logging for security and compliance. Optimized scalability and performance by adopting modular microservices and cloud-native deployment practices.
Trading Mobile App (Thinkwalnut Digital)
June 15, 2026 – Present
Developed a mobile trading application with a focus on mutual fund management and mandate creation, designed for secure and seamless financial transactions. Key Contributions: Implemented features for mutual fund handling, including investment tracking and portfolio management. Developed workflows for mandate creation and management, including SBI e-Mandate integration to automate recurring payments. Ensured secure transaction handling with compliance to banking and financial standards. Optimized user experience for smooth navigation and reliable mobile performance.
Cultural Fit Analysis
The candidate has worked across various domains including e-learning, e-commerce (auction, warehouse management), digital marketing, and fintech. This diversity of project experience suggests adaptability and a broad understanding of different business requirements and technical challenges. The consistent focus on scalable, high-performance, and cloud-native solutions aligns with modern engineering practices. The candidate's experience in leading teams and architecting solutions indicates a proactive and ownership-driven mindset, which is generally a good cultural fit for senior engineering roles.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Senior FullStack Engineer & Lead, Backend Lead) and contributions to complex, enterprise-grade systems, suggesting strong operational fit for roles requiring technical leadership, project ownership, and collaboration within a team. The descriptions of implementing role-based access control, audit logging, and ensuring system reliability indicate an understanding of security, compliance, and robust system operations. The MBA/PGDM education, while not directly technical, could imply an understanding of business context and project management, which are valuable for senior roles.