CampusMesh is a secure, student-only academic platform designed to help university students connect globally through study groups, events, communities, internships, and more — all within a single application.

In this role, I will contribute to backend development by building scalable features using microservices architecture and designing, implementing and deploying cloud-based solutions on AWS.

● Contributed to an AI-driven Remote Patient Monitoring System, awarded $100K by the National Science Foundation, USA, employing React Native, TypeScript, and Cognito authentication for real-time health monitoring.

● Authored parallelized ETL pipelines in Python to convert unstructured NoSQL data into structured SQL using GCP Cloud Functions. Leveraged concurrent processing of data chunks, reducing transformation time by 60%.

● Developed a React website to host QuickSight dashboard handling 50K+ records, utilized Cognito, Amplify, and Lambda functions to establish login, role-based access control, and Stripe integration for payment gateway.

– Designed a secure UI Console architecture using Midway SSO, OAuth, and HELIS to enforce least-privilege, role-based access; presented the solution to the team and received design approval.

– Built serverless infrastructure using AWS CDK to deploy API Gateway, Lambda (Java 21), DynamoDB, and S3 with cross-account access; implemented CI/CD pipeline for multi-stage deployments.

– Developed the frontend using React 18, integrating AWS UI components, Midway AuthN, and HELIS AuthZ with role-aware views and filtering; delivered a UI that was 40% faster and significantly more secure than older version.

– Implemented backend APIs using Java Coral, Smithy models, Dagger DI, and CBOR serialization; improved response time by 35% and ensured reliability through comprehensive unit and integration testing.

● Designed and implemented a distributed backend system on Microsoft Azure for a cloud-based health platform, integrating with Microsoft Dynamics for secure data flow and leveraging Azure services for scalability, fault tolerance, and event-driven processing.

● Led code reviews and mentored 5 interns on software design principles, test-driven development, and performance optimization, reducing production bugs by 25% and accelerating CI/CD pipeline efficiency in an Agile practice.

● Built a scalable B2B web platform with modular backend services to modernize a legacy user onboarding system, integrating data pipelines, email event tracking, and BI report generation, resulting in 70% improvement in automation and extensibility.

● Deployed a cognitive neural model via RESTful APIs to automate structured data extraction from physical cards using OCR. and NLP techniques, reducing manual processing time by 75% and enhancing system integration with client applications.

● Engineered role-based access control (RBAC) and authorization layers for 5+ different roles, enforcing the principle of least privilege and preventing unauthorized access through strict session validation and privilege escalation checks.

● Optimized a data pipeline by implementing parallel processing for cleaning, mapping, and importing 100K-row Excel files into the database, reducing execution time from 5 hours to 1 hour and improving overall efficiency by 80%.

● Engineered a trie-based autocomplete module to enable fast and dynamic search across users and documents, reducing average query time by 70% and improving operational efficiency for over 10K+ client records.

● Composed client and server-side custom configurations using JavaScript, plugins, custom workflows, webhooks, and Business rules, yielding a 35% faster server response.