Sushanta Kumar Patra

Results-driven Senior Full Stack Engineerand Module Leadwith 8+ yearsof proven expertise in architecting, developing, and delivering enterprise-scale distributed systems and cloud-native platforms across Logistics, Government, FinTech, and SaaS domains. Deep technical proficiency across MERN Stack (MongoDB, Express.js, React.js, Node.js), Next.js, Python (FastAPI/Django), Angular, and Laravel. Expert in designing resilient Microservices Architectures, GraphQL, and real-time streaming pipelines using Apache Kafkaand Redis Caching. Extensive experience orchestrating large-scale applications on AWS Cloud Infrastructure (ECS/Fargate, API Gateway, RDS, S3). Demonstrated success as a Module Leadmanaging agile teams of 4–8 developers, driving system architecture, and aligning technical execution with enterprise business growth.

Xonar (Logistics & Cargo Load Planner):

Description: Developed Xonar, an enterprise-grade logistics and cargo load planning platform designed to streamline multi-tenant container optimization workflows. The application automates the ingestion of real-time shipping logs and enables dynamic volumetric distribution of booked inventory inside shipping containers.

Key Features:

• Container Optimization: Integrated a core optimization algorithm allowing client users to dynamically visualize and arrange booked inventory inside containers to maximize volumetric efficiency.
• High-Concurrency Ingestion: Designed low-latency RESTful APIs managed via AWS API Gateway to ingest and process massive, real-time transactional shipping and booking logs.
• Containerized Microservices: Engineered a decoupled microservices architecture containerized via Docker and orchestrated through Amazon ECS and AWS Fargate to support automated horizontal scaling.
• Cloud-Native Asset Management: Implemented centralized secure asset storage using Amazon S3 for logistical report handling alongside granular metrics monitoring through Amazon CloudWatch.

Tech Stack: Built using Angular.js for frontend, Node.js and Laravel for backend services, with MySQL and Amazon RDS for relational data handling. Infrastructure is managed using Docker, AWS ECS, Fargate, AWS API Gateway, Amazon S3, and CloudWatch.

Scalable Architecture: Designed a highly available, distributed cloud architecture on AWS to ensure fault-tolerant processing and automated infrastructure scaling under high traffic loads.

Achievements:

• Reduced customer onboarding latency by 50% through streamlined multi-tenant data pipelines.
• Delivered a scalable solution containerized with Docker, maintaining high application availability and sub-second execution targets for API logs.
• Enhanced container space usage via automated, real-time 3D layout calculations for operators.

This project showcases expertise in building cloud-native distributed microservices, migrating legacy components to scalable AWS infrastructure, and implementing complex computational algorithms for international logistics operations.

Easy Bill (Process Automation Engine):

Description: Developed Easy Bill, an automated financial invoicing and data extraction engine engineered to completely digitize and eliminate manual logistics auditing processes. The platform ingests massive transactional data streams and converts them into structured relational records instantly.

Key Features:

• Automated Data Extraction: Built high-speed file parsing pipelines to ingest, validate, and convert massive spreadsheets into fully normalized database entities.
• Workflow Automation: Replaced error-prone legacy Excel accounting procedures with a continuous automated validation loop.
• Performance Tuning: Optimized database layers and query execution plans to handle bulk data operations without blocking application runtimes.
• Financial Reporting: Streamlined real-time invoice generation and cross-border reporting modules for large-scale logistics billing.

Tech Stack: Built using PHP and the Laravel framework for core backend logic, paired with MySQL for structured relational database management and dedicated Excel parsing engines.

Scalable Architecture: Designed a modular monolithic architecture prioritizing optimized transaction processing speed and high throughput file handling pipelines.

Achievements:

• Accelerated weekly corporate auditing timelines by 60% through targeted data indexing strategies.
• Eliminated manual data insertion errors, raising absolute financial billing accuracy to 99.8%.
• Significantly decreased corporate financial processing cycles by automating invoicing sub-modules.

This project showcases expertise in workflow automation engineering, high-throughput parsing pipeline design, database indexing optimization, and eliminating legacy computational overhead in enterprise logistics systems.

Internal CRM Platform: 

Description: Developed an internal corporate CRM platform designed to aggregate and centralize cross-departmental employee, client, and real-time subscription lifecycle metrics. The system functions as a unified telemetry and management hub across independent corporate divisions.

Key Features:

• Event-Driven Aggregation: Implemented an asynchronous message broker layer using Apache Kafka to sync live transactional logs across isolated services.
• Unified Data Gateway: Designed a performant GraphQL API layer to minimize round-trip latency and aggregate multi-service payloads into clean, single-query responses.
• Hybrid Database Topography: Implemented a split-storage strategy using MySQL for consistent financial ledger records alongside MongoDB for polymorphic subscription attributes.
• Granular Security Matrix: Engineered a fine-grained role-based permission matrix alongside real-time tracking dashboards for administrative security.

Tech Stack: Built using React.js for frontend layout, Node.js for backend application layers, GraphQL for API consumption, and Apache Kafka for event streaming. Data is partitioned across MySQL and MongoDB.

Scalable Architecture: Designed a decoupled, event-driven microservices architecture optimized for low-latency queries and zero data loss across distributed boundaries.

Achievements:

• Improved overall system responsiveness and data query throughput by 40% via strict GraphQL schema optimization and caching.
• Ensured zero data loss for live streaming events using a highly available Kafka orchestration pattern.
• Streamlined internal operations by creating a single source of truth for unified subscription metrics.

This project showcases expertise in designing decoupled event-driven microservices, implementing hybrid relational/NoSQL datastores, and optimizing API gateways for enterprise resource orchestration.

Maharaja App - Restaurant Management Platform  :

Description:
Developed Maharaja App, a comprehensive restaurant management platform inspired by Zomato, designed for multi-restaurant registration and management. The application facilitates seamless online food ordering, table booking, and delivery tracking.

Key Features:

• Distance Calculation: Integrated Google Distance Matrix API to calculate and display distances for optimized delivery and user convenience.
• Delivery Partner Integration: Collaborated with Grab for real-time delivery partner services.
• Payment Gateways: Implemented CCAvenue and PayPal with webhook functionality for secure and automated payment processing.
• Accounting Automation: Synced with Zoho Books to streamline financial operations and maintain accurate records.
• Tech Stack: Built using React for frontend, Node.js, Laravel, and SQL Server for backend services, and MongoDB for dynamic data storage.
• Scalable Architecture: Designed a robust, scalable architecture to handle large user bases and multi-restaurant registrations efficiently.

Achievements:

• Enhanced user experience through modular and scalable features like table booking and distance-based delivery tracking.
• Ensured high reliability and security for transactions using advanced payment integrations.
• Optimized operations by automating accounting and delivery management systems.

This project showcases expertise in building scalable full-stack applications for social impact, integrating financial systems, and implementing user-friendly solutions.

OUWSSB (Odisha Unorganized Worker’s Social Security Board) : 

Description:
Designed and developed the OUWSSB Portal, a comprehensive platform aimed at providing social security benefits to unorganized workers in Odisha. The system ensures efficient worker registration, data validation, and seamless financial processing to improve the socio-economic conditions of workers and their families.

Key Features:

• Worker Self-Registration: Enabled workers to register themselves through an intuitive portal.
• Approval Workflow: Implemented a data approval system where worker details are verified and approved by district collectors using e-Mudra digital signatures via secure USB tokens.
• Treasury Integration: Automated the process of forwarding approved files to the treasury department for payment verification and disbursement.
• Payment Processing: Managed secure and efficient disbursement of social security benefits post-verification.
• Technology Stack: Utilized React for frontend development, Node.js, Laravel, and Java for backend services, C++ for performance-critical modules, MongoDB and MySQL for data management.

Achievements:

• Streamlined the registration and approval process for unorganized workers, reducing manual intervention and errors.
• Ensured secure and compliant workflows through the integration of digital signatures and treasury validation.
• Delivered a scalable and efficient solution to handle a large volume of workers and ensure timely benefit distribution.

This project highlights expertise in building secure, government-grade full-stack applications, integrating e-signature workflows, and implementing robust financial systems to impact public welfare.

OBOCWWB (Odisha Building & Other Construction Worker’s Welfare Board) 

Description:
Developed the OBOCWWB Portal, a robust platform designed to manage the welfare fund under the Odisha Building and Other Construction Workers' Welfare Board. The system automates fund management, worker registration, and benefit distribution in compliance with the Odisha Building and Other Construction Workers' (RE & CS) Rules, 2002.

Key Features:

• Worker Registration and Welfare Tracking: Enabled construction workers to register, track their contributions, and access welfare benefits.
• Fund Management: Built a module to manage the Odisha Building and Other Construction Workers' Welfare Fund for efficient allocation and disbursement.
• Compliance Integration: Ensured adherence to Rule 263 of the Odisha Building and Other Construction Workers' regulations.
• User-Friendly Frontend: Designed with Next.js for a fast, responsive, and interactive user experience.
• Backend Services: Utilized Node.js and Laravel for a scalable and secure backend architecture.
• Database Management: Employed MongoDB and MySQL to handle worker data, fund transactions, and compliance records.

Achievements:

• Streamlined operations for registering and managing welfare for thousands of construction workers.
• Ensured secure, accurate fund allocation with a reliable database architecture.
• Delivered a scalable solution adaptable to future policy and operational requirements.

This project demonstrates expertise in full-stack development, fund management systems, and delivering impactful welfare solutions with a focus on compliance and user experience.

Smart Lab & Smart Classroom - School Transformation Initiatives under 5T Learning Companion  :

Description:
Developed a comprehensive solution for the School Transformation Initiatives under 5T, focusing on modernizing educational infrastructure in Keonjhar district. This project involved the setup and maintenance of Smart Labs and Smart Classrooms across government and government-aided high schools, promoting a technology-driven learning environment.

Key Features:

• Smart Labs Installation: Deployed state-of-the-art Smart Labs in 221 high schools, replacing outdated equipment with the latest technology.
• Smart Classrooms Setup: Established 140 Smart Classrooms in 41 schools, enhancing teaching methods with interactive and digital learning tools.
• Operation & Maintenance: Ensured the smooth functioning of 442 Smart Labs (221 new + 221 existing) and 140 Smart Classrooms over a period of 5 years.
• Procurement and Commissioning: Managed end-to-end activities, including procurement, installation, and commissioning of new equipment.
• Scalable Architecture: Designed systems using Next.js for a dynamic frontend, Node.js and Laravel for backend processing, and MongoDB with MySQL for robust data management.

Achievements:

• Successfully modernized educational infrastructure, impacting over 200 schools and enhancing the learning experience for thousands of students.
• Streamlined operations with a long-term maintenance plan for both Smart Labs and Smart Classrooms.
• Delivered a scalable and efficient solution aligned with the Odisha government's 5T (Technology, Transparency, Teamwork, Time, Transformation) framework.

This project showcases expertise in large-scale deployment, educational technology solutions, and the integration of modern IT systems to transform traditional learning environments.

Learning Companion :

Description:
Developed the Learning Companion platform in collaboration with the Government of Odisha and Maharashtra Knowledge Corporation Limited (MKCL). The project aims to revolutionize education by integrating Information Technology into teaching, learning, and educational management processes, fostering socio-economic transformation.

Key Features:

• IT-Enabled Learning: Delivered an interactive and accessible platform for teaching and learning, integrating modern technology to enhance educational delivery.
• Comprehensive Management System: Implemented features for efficient educational management, including student progress tracking and resource allocation.
• Scalable Architecture: Built a robust and scalable solution to cater to the diverse needs of learners and educators across Odisha.
• Technology Stack: Utilized React for the frontend, Node.js and Express.js for backend services, Laravel for API integration, and MongoDB and MySQL for data storage and management.

Achievements:

• Empowered educational institutions to adopt IT-driven processes, enhancing efficiency and accessibility.
• Created a user-friendly system that bridged the gap between traditional and technology-enabled education.
• Facilitated socio-economic development by improving digital literacy and educational outcomes.

This project highlights proficiency in full-stack development, IT integration in education, and large-scale project implementation to support government initiatives.

Becoblue :

Description:
Developed Becoblue, a classified ads platform similar to Just Dial, providing users with a seamless way to post and search for ads in various categories. The platform enables businesses and individuals to list services, products, or job opportunities, offering a user-friendly interface for both advertisers and customers.

Key Features:

• Classified Ads Management: Users can easily post, search, and manage classified ads in categories such as services, products, jobs, and more.
• Search & Filter: Advanced search functionality with filter options to help users find relevant ads quickly.
• User Profiles: Created profiles for advertisers to manage their listings and engage with potential customers.
• Admin Panel: Developed an admin panel for managing user-generated content, handling disputes, and moderating ads.
• Technology Stack: Built using Codeigniter for the backend, ensuring a robust and secure application with efficient handling of database operations and user management.

Achievements:

• Delivered a scalable, feature-rich platform for users to easily navigate and post classified ads.
• Designed and implemented a secure and user-friendly interface with Laravel to manage user activities and listings effectively.

This project demonstrates expertise in building efficient and scalable web applications, particularly in the classifieds and business listing domain.