• 💼 Software Engineer 1 @ BlackDuck - Building Cloud Native Coverity K8s-based products
• 🚀 Backend Developer specializing in Golang, Microservices Architecture, and Cloud-Native Solutions
• ☁️ Microsoft Certified: DevOps Engineer Expert & Azure Administrator Associate
• 🔧 Expert in Kubernetes (GKE, AKS, EKS), Docker, Terraform, and Multi-Cloud Deployments
• 🌱 Working on distributed systems, PostgreSQL optimization, and CI/CD automation
• 🤖 Passionate about AI/ML - Built CNN-based Attendance System with 95% accuracy
• 🎓 B.Tech in CSE from RGUKT Nuzvid (CGPA: 9.2)
• ⚡ Fun fact: Chess enthusiast and Volleyball player

June 2024 - Present

Backend Developer specializing in Golang, working on Cloud Native Coverity K8s-based product.

• Enabled parallel job execution on Kubernetes clusters for OnPrem deployments, improving resource utilization
• Automated job lifecycle management with sidecar containers for SaaS platform, reducing manual intervention

• Implemented multipart upload for large files across AWS S3, Azure Blob Storage, GCP Cloud Storage, and Minio
• Achieved 1.5-2.8x faster uploads and reduced failures
• Enhanced cleanup scripts to delete orphaned files from interrupted CLI scans
• Integrated Azure Blob storage with custom domain support, workload identity authentication, and presigned URL generation

• Implemented PostgreSQL Read Replicas with PGPOOL load balancing across all K8s cluster types (AWS, Azure, GCP, Pure K8s, OpenShift)
• Upgraded embedded PostgreSQL to version 16.x with static linking
• Built CI/CD pipelines automating deployment with version control and containerization
• Implemented distributed tracing for microservices APIs using OpenTelemetry
• Managed IaC and container orchestration across multi-cloud environments with Helm chart maintenance
• Migrated container images to private Google Artifact Registry with multi-architecture support (AMD64, ARM64)

July 2023 - June 2024

• Created cloud infrastructure using Terraform scripts and automated software integration
• Gained in-depth understanding of Docker, Kubernetes, Helm, GitLab Pipelines, and Golang
• Automated Dev and Release Pipeline using GitLab CI/CD
• Triaged and fixed issues across multiple pipelines

Tech Stack: Python, Deep Learning, TensorFlow, OpenCV, Django, HTML, CSS, Bootstrap

• CNN-based automated attendance system using facial recognition
• Achieved 90% reduction in time spent on manual attendance with 95% accuracy
• Built using Python, TensorFlow, and OpenCV for automatic attendance marking from single class photo

         

                 

   

   

   

       

Backend Development: Golang Microservices • RESTful APIs • Distributed Systems • System Design • Design Patterns

DevOps & Cloud: Kubernetes (GKE, AKS, EKS, OpenShift) • Docker • Terraform • Infrastructure as Code • Multi-Cloud Deployments

CI/CD: GitLab CI/CD • Concourse • Pipeline Automation • Container Orchestration with Helm

Database Management: PostgreSQL • Read Replicas • PGPOOL Load Balancing • Database Optimization

Monitoring & Observability: Grafana • Loki • Prometheus • OpenTelemetry • Distributed Tracing

Cloud Storage: AWS S3 • Azure Blob Storage • GCP Cloud Storage • Minio

Programming Concepts: OOP • Design Patterns • Data Structures & Algorithms • System Design

Areas of Interest: DevOps • Backend Development • Microservices Architecture • Cloud-Native Applications

Soft Skills: Problem Solving • Self-Learning • Presentation • Adaptability

• Microsoft Certified: DevOps Engineer Expert
• Microsoft Certified: Azure Administrator Associate
• Applied Data Science Capstone - Coursera (Apr 2023)

⚡ "Building scalable cloud-native systems with Golang, one microservice at a time" ⚡