Full-stack Engineer

Redesigned a monolithic platform into modular microservices using Spring Boot, Next.js, and REST/GraphQL APIs, improving scalability and cutting deployment time by 40%. Developed responsive, accessible UIs with React, Tailwind CSS, and Radix UI to enhance usability and visual cohesion across tools. Integrated AWS S3, MinIO, and CEPH for AI/ML pipelines, enabling high-throughput, low-latency data ingestion and retrieval. Architected real-time streaming pipelines with Kafka, Lambda/Kappa patterns, and backend APIs to process high-volume scientific datasets. Implemented automated infrastructure provisioning with Terraform and CI/CD workflows in Jenkins, GitLab CI, and CircleCI. Optimized data visualization dashboards, improving discoverability and interaction with complex datasets. Applied zero-trust security principles, reducing reported vulnerabilities by 40% and ensuring compliance across environments. Collaborated with researchers and UX teams to align backend data models with intuitive frontend features. Mentored junior developers in microservices patterns, API design, and performance tuning for both frontend and backend systems. Enhanced observability with Datadog and Prometheus, enabling proactive detection and resolution of production incidents.

Designed and deployed microservices for ML pipelines using Java, FastAPI, and Flask, improving data ingestion reliability and reducing failure rates by 22%. Developed backend RESTful APIs and full-stack solutions with React and Angular, supporting production deployments across distributed systems. Built scalable microservices for ML pipelines with Java, FastAPI, and object storage backends for model data in AWS S3. Integrated CEPH-based object storage in proof-of-concept DataLake environments. Created data visualization and exploration tools to enhance the discoverability of large scientific datasets. Performed performance benchmarking on hybrid storage systems (S3 + CEPH) to validate throughput under load. Owned feature development from initial design through testing and production release, working in fast-paced Agile sprints. Created reusable Terraform modules and CloudFormation templates for infrastructure provisioning, ensuring consistent deployments across AWS and Azure. Implemented backend features with a Continuous Delivery approach, enabling automated and low-risk deployments. Deployed services across AWS, Azure, and gained exposure to GCP for hybrid cloud operations. Created CI/CD workflows using Docker, GitLab CI, and Jenkins, reducing staging deployment time by 50%. Integrated backend observability with Datadog, Splunk, and log-based metrics to track performance, latency, and error rates. Conducted performance tuning of SQL and NoSQL queries (PostgreSQL, Cosmos DB, MongoDB), reducing average service response time by 40%. Participated in TDD with JUnit and Cypress, maintaining high test coverage and stability across releases. Architected and implemented a data validation engine for ML inputs using PL/SQL and Python, reducing invalid data submissions by 45% and improving overall model accuracy and reliability.

Developed full-stack applications using Java, Spring, and React, with secure RESTful APIs using OAuth2/JWT for Visa and Mastercard payment gateway integrations for HDFC bank. Built responsive UIs with HTML5, CSS3, and JavaScript, ensuring cross-browser compatibility and accessibility. Automated test cases using JUnit and Selenium, raising test coverage to 75% and helping identify 60+ critical bugs during UAT. Assisted in migrating on-prem storage to AWS S3 for backend applications. Conducted backend performance profiling and JVM memory analysis to improve API throughput by 15%. Supported CI/CD implementation using Jenkins and Docker, reducing staging deployment failures by 30%. Created technical documentation for new features, APIs, and architectural changes to support team onboarding. Assisted in containerizing applications and configuring AWS EC2 environments for deployment scalability. Collaborated with Solution and Enterprise Architects to analyze, split, and realize enabler implementation across portfolios. Studied and applied object-oriented analysis and design (OOAD) principles under senior mentorship, contributing to system decomposition efforts and learning UML modeling in real-world use cases. Designed and implemented CI/CD workflows using Jenkins and Maven to streamline deployment automation and enforce infrastructure-as-code and release standards across environments. Conducted backend performance profiling and memory leak analysis using JProfiler and JVM monitoring tools, contributing to a 15% increase in API throughput. Assisted in deploying applications to AWS EC2 instances and configuring S3-based static content delivery, gaining hands-on experience in early cloud-based infrastructure.