I'm a passionate CloudOps Engineer and Full Stack Developer with hands-on experience in containerized applications, cloud infrastructure, and modern DevOps practices. Currently working at Anblicks Inc. as a Engineer I - Cloud Engg and AI, I specialize in AWS, Kubernetes, Jenkins, Ansible and Infrastructure Automation while building scalable web applications.
- π Currently working on Cloud Technologies
- π± Exploring advanced Kubernetes patterns and cloud-native technologies
- π― Looking to collaborate on open source DevOps tools and cloud automation projects
- π¬ Ask me about AWS, Kubernetes, Terraform, CI/CD, and Full Stack Development
- π« Reach me through any platform below!
- β‘ Fun fact: AI is everything!
- π Deployed and managed containerized applications on AWS EKS
- π οΈ Automated infrastructure with Terraform for consistent deployments
- π Implemented pod and node autoscaling for optimal resource utilization
- π Built CI/CD pipelines using Azure DevOps and Jenkins
- ποΈ Designed end-to-end internal company project from architecture to deployment
- π Led workshops on Tree Data Structures and Advanced Algorithms
- π― Organized HackerEarth coding contest with 100+ participants
- π Mentored fellow students in competitive programming
Tech Stack: AWS EKS, Terraform, Prometheus, Grafana, Azure DevOps
- β‘ Containerized microservices deployed on Amazon EKS
- π Configured ALB with path-based routing for traffic management
- ποΈ Provisioned infrastructure using modular Terraform with remote state
- π Implemented real-time monitoring with Prometheus and Grafana
Tech Stack: React, Node.js, Stripe API
- ποΈ Built responsive e-commerce website with secure checkout
- π° Integrated Stripe API for real-time payments with webhook handling
- π Deployed frontend on Vercel and backend on Render
- π Implemented cart management and product browsing features
Tech Stack: React, Django, MongoDB, MDB React UI Kit
- π― One-stop solution for finding PG, Hostel, and Tiffin services
- π§ͺ Implemented automated testing with Selenium, reducing bugs by 30%
- π± Built responsive UI with modern design patterns
- π Advanced search and filtering capabilities
Published in OTCON 4.0 Conference
- π€ Developed personalized face matching system using ML algorithms
- π¨ Created Gradio interface for user-defined facial attributes
- π Implemented vector embeddings and similarity search algorithms
- π‘ Built innovative solution for partner matching applications
- π§ Infrastructure as Code with Terraform and cloud automation
- π Monitoring & Observability using Prometheus, Grafana, and KEDA
- π Kubernetes Optimization with Karpenter and Cluster Autoscaler
- π CI/CD Pipeline Enhancement for faster, reliable deployments
- π€ Machine Learning Integration in cloud-native applications
- π Microservices Architecture and event-driven systems
- π₯ AWS Cloud Practitioner certification
- ποΈ Published Research Paper in IEEE Conference
- π DuHacks2.0 Hackathon Winner in top 15 team
- Cloud Platforms: AWS (EKS, ECS, EC2, S3, ALB), Azure (DevOps, AKS)
- Container Orchestration: Kubernetes, Docker, Pod/Node Autoscaling
- Infrastructure: Terraform, Ansible, Infrastructure as Code
- CI/CD: Jenkins, Azure DevOps, GitOps workflows
- Monitoring: Prometheus, Grafana, KEDA, alerting systems
- Databases: MongoDB, SQL, Vector Databases
- Additional: Apache Kafka, Web Scraping, Design Patterns, DBMS
Thanks for visiting! I'm always open to discussing cloud technologies, DevOps best practices, or collaborating on innovative projects! π
"The best way to predict the future is to create it." - Peter Drucker
β If you find my work interesting, consider starring my repositories!


