Duration: April 2025 – Present
Location: Mumbai, India

Technical Stack: Next.js, REST APIs, Netflix Conductor, Distributed Systems

Worked on building scalable workflow-driven systems and improving backend reliability.

Key Contributions:

• Developed Next.js services integrated with REST APIs and workflow orchestration using Netflix Conductor
• Reduced workflow execution latency by 30% through optimized service communication
• Built robust API orchestration layers with retries, validation, and asynchronous processing
• Automated document extraction pipelines improving operational throughput by 40%
• Implemented monitoring, structured logging, and resilient error handling mechanisms

Impact: Improved production reliability and reduced operational workload while enabling faster workflow execution.

Duration: June 2024 – Aug 2024
Location: India

Technical Stack: Java, Spring Boot, REST APIs, SQL

Developed backend services for a multi-role food delivery management system.

Key Contributions:

• Designed a Spring Boot application using Controller–Service–DAO architecture
• Developed and optimized 25+ REST APIs for order management and system operations
• Implemented SQL-based persistence ensuring data consistency and reliability
• Applied OOP principles, logging, and query optimization techniques
• Improved backend service performance by 20%

Impact: Built a scalable backend system capable of processing 200+ orders efficiently.

Duration: Dec 2023 – Feb 2024
Location: Nashik, India

Technical Stack: React.js, Node.js, MongoDB, REST APIs

Worked on building a scalable advisory platform for educational institutions.

Key Contributions:

• Developed a full-stack advisory system using React and Node.js
• Built REST APIs with MongoDB for data storage and retrieval
• Implemented geo-filtering functionality to improve search accuracy
• Optimized database queries reducing latency by 35%
• Improved API performance and modularity for production-ready deployment

Impact: Platform successfully served 20+ institutions with improved performance and scalability.

Technical Stack: MERN Stack, OpenAI APIs, Node.js, React, MongoDB, Docker

Real-time conversational platform designed for scalable AI-powered interactions.

Key Features:

• Real-time conversation streaming with async pipelines
• Session orchestration for handling multiple users concurrently
• Caching and optimized data pipelines achieving sub-300ms latency
• Structured logging and observability for system monitoring
• Optimized database schemas improving storage efficiency

Impact: Supports 100+ concurrent users while maintaining high reliability and performance.

Technical Stack: React.js, Node.js, Express.js, MongoDB, REST APIs

A full-stack platform designed to help students discover and evaluate educational institutions based on their preferences and location.

Key Features:

• Dynamic React-based interface for browsing and comparing institutions
• RESTful APIs built with Node.js and Express for efficient data handling
• MongoDB database integration for scalable storage of institutional data
• Geo-filtering functionality enabling location-based institution search
• Modular architecture for easy scalability and maintenance

Impact: Built a scalable advisory platform serving 20+ institutions, improving search efficiency and reducing query latency by 35%.

Technical Stack: Java, Data Structures, File System Architecture

A lightweight version control system designed to mimic core Git functionality.

Key Features:

• Commit graph architecture for efficient history tracking
• Branching and rollback support for version management
• Diff engine for detecting file-level changes
• Indexed metadata storage enabling O(log n) operations
• Modular architecture for improved scalability and maintainability

Impact: Handles 1000+ version control operations efficiently while maintaining fast lookup performance.