I'm a Cloud-Native Software Engineer with 3 years of experience building scalable applications using Java, Spring Boot, Angular, AWS, and Kubernetes. I hold a Master's in Software Engineering and specialize in designing microservices, event-driven architectures, and cloud automation.
I love solving complex challenges, improving system performance, and integrating DevOps best practices into production environments.
A RAG-based AI-powered CVE Processing System leveraging modern cloud-native technologies:
- Designed and deployed a distributed RAG model using LLama3, integrated with Kafka streams and Pinecone Vector DB, improving data insights accessibility by 70% and decision-making speed by 50% via a Streamlit-based GPT interface.
- Architected a scalable, multi-cloud microservices ecosystem using Go, Python, and Kafka for real-time CVE processing, integrated with PostgreSQL and orchestrated via AWS EKS with multi-AZ deployment, achieving 99.9% uptime and 40% improved reliability.
- Enhanced security with Google OAuth for user authentication and an AWS Lambda-driven email service for user verification.
- Implemented observability by integrating Fluent Bit for log aggregation, OpenTelemetry for traces, and Grafana for visualization, reducing MTTR by 50%.
- Deployed Istio service mesh with Envoy sidecars and integrated Kiali dashboard for traffic management, secure service-to-service communication, and monitoring. Achieved hitless upgrades, reduced system latency by 30%, and ensured high reliability.
- Developed a custom Kubernetes operator using Kubebuilder to automate GitHub release tracking, leveraging CRDs, RBAC, and resource limits for a 25% faster release cycle.
- Automated infrastructure provisioning and deployment using Terraform, Packer, and Helm, achieving 60% faster deployments.
- Built CI/CD pipelines using Jenkins and ArgoCD, reducing deployment times by 50% and improving consistency by 30%.
- Automated SSL/TLS certificate management using cert-manager and implemented secret management with SOPS, achieving zero downtime in rotations and a 35% improvement in security posture.
Northeastern University, Boston, MA | Jan 2024 – Dec 2024
- Facilitated coding sessions and automated workflows to improve assignment delivery using GitHub Actions.
Staples, Framingham, MA | Jun 2023 – Dec 2023
- Developed Full stack features to improve custumer service agents productivity and operational efficiency, Migrated distributed systems to latest versions, improved system performance, and created a test env for agent onboarding.
Infosys, Hyderabad, India | Sep 2021 – Aug 2022
- Developed cloud-native microservices with Spring Boot and integrated Kafka pipelines for real-time data processing.
- Enhanced observability with modern tools, upgraded systems, and automated solutions for improved productivity.
Accenture, Hyderabad, India | Nov 2020 – Aug 2021
- Automated cloud infrastructure provisioning and optimized CI/CD pipelines for scalable, secure AWS deployments.
Languages
Frameworks
Cloud
Tools
Databases
