I am with 14 years of experience, possess a robust skill set in AWS Cloud, AI/ML, DevOps/DevSecOps practices and Terraform, making me proficient in designing, implementing, and maintaining cloud-based solutions. My expertise extends to containerization technologies like Docker and Kubernetes, allowing me to orchestrate and manage containerized applications effectively. My involvement in Machine Learning demonstrates my capability to apply advanced data science techniques to real-world scenarios. Additionally, I experience in presales showcases my ability to communicate and present technical solutions persuasively. As a team leader and Technical Architect, I have honed My leadership skills and demonstrated a talent for guiding teams toward successful project outcomes. Overall, my extensive background in various domains positions me as a highly skilled and versatile professional in the field of cloud computing and technology architecture.
I am working as a Platform Architect and I design Automation Strategy for Healthcare Commercial Cloud "HCC"
I plan Cloud Architectural design with Chief Architect & Enterprise Architect.
Implementation & Costing discussion with different vendors like Hashicorp, AWS Cloud, Azure Microsoft & Google Cloud.
Implementing migration from CloudFormation to Terraform.
Working on AWS Cloud, Security and Complinace.
AWS Cloud: Proficient in Terraform, AWS Cloud services encompassing Compute, VPC, Load Balancing, Storage, API Gateway, Cloud Security (Cloudtrail, Firewall, WAF, AWS Inspector, ), Data Pipeline (Kinesis Data Streams, Kinesis Video Streams, Firehose, Data Lake, Glue)
DevOps/DevSecOps: Skilled in Continuous Integration and Continuous Deployment (CICD) practices, Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST) scans, SonarQube, and adept at implementing a "Shift Left" approach for enhanced security
AI/ML: Worked with Generative AI, Machine learning technologies, including OpenAI, OpenAI-API, Langchain, AWS Rekognition, and AWS Sagemaker Basic proficiency in Python with a focus on machine learning applications (relatively new to ML)
Container Orchestration: Experienced in container orchestration using AWS Elastic Kubernetes Service (EKS) and Docker, enabling efficient deployment and management of containerized applications
SCM: Proficient in source code management platforms such as Gitlab, SHIP/HATS, GitHub, and Bitbucket, facilitating collaborative development and version control
Customer handling: Skilled in customer interaction and Presales work, including the design of Request for Proposals (RFPs), ensuring effective communication and solution alignment with client requirements
Agile: Proficiently manage tasks within the Agile framework & Kanban Board