I am
Sathiamoorthi Krishnan
Crafting Excellence in System Administration Cloud Architecture IT Infrastructure Artificial Intelligence Cloud Infrastructure
@outlook.com
Phone
+973 38294223
Nationality
Indian
Date of Birth
24th July 1989
About Me Me Me
Dynamic leader with over 13 years of experience in managing cross-functional teams across various cloud platforms. I hold certifications in Azure, Citrix, and AWS, reflecting my expertise in these areas. Additionally, I am a lean six sigma yellow belt holder, showcasing my process improvement and efficiency.
Specialize in swift project execution, robust cloud security, and inspiring leadership. My technical skill encompasses cloud infrastructure, Devops, and Artificial Intelligence. I have a proven track record in integrating complex cloud solutions, automating processes, and leveraging AI, with a strong focus on security.
As a leader, I am committed to fostering a culture of growth and innovation within my team. I am always ready to embrace new challenges and opportunities. My unique blend of technical knowledge, leadership skills, and a relentless drive for continuous learning makes me an asset to any organization.
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Education:
MBA In Information Technology -
Post Graduation:
Caltech University of Technology Specialized in AI & ML
Career Timeline
Trace milestones, growth, and achievements succinctly.
Follow my journey through key milestones, transitions, and achievements, capturing growth, resilience, and dedication in a succinct Career Timeline.
2011-2015
UGAM Solutions Pvt Limited, Coimbatore
2015-2016
Frontier Business Systems Pvt. Ltd., Coimbatore
2017-2019
Ahli United Bank, Payroll of GBM Bahrain
2019-till date
Bank ABC Bahrain
Key Skills Skills Skills
Dynamic leader with over a decade of experience orchestrating cross-functional teams in Citrix, AWS, Azure, and VMware. Swift project completion, cloud security mastery, and inspirational leadership drive exceptional results.
Cloud Infrastructure Engineer
Cloud Services:
Expertise in cloud platforms like AWS, Azure, or Google Cloud Platform
Infrastructure As Code:
Proficient with tools like Terraform, Ansible, or CloudFormation.
Tools & Database
Tools : Stackdriver Azure Monitor Cloudwatch
Database: Amazon RDS Azure SQL Cloud SQL
Data and Analytics Services
Experience in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. Proficiency in Python, Node.js, deep learning frameworks, DevOps, security, and monitoring is essential for effective AI development and management on Azure.
Programming Languages:
Aws machine learning Services
Experience in AWS machine learning services like Amazon SageMaker, pre-built AI services, and AWS data services including storage and analytics. Proficiency in Python, deep learning frameworks, DevOps, infrastructure as code, container services, security, monitoring, and effective communication is essential for AI development and management on AWS.
Citrix
Citrix Products: Deep Knowledge of Citrix virtual apps, Desktop as a Service, Citrix ADC, Citrix Hypervisor, Citrix ShareFile and XenMobile
Leadership
Experience leading technical teams and fostering a collaborative work environment.
Ability to mentor and train junior engineers and support staff.
Demonstrated success in guiding teams through complex deployments and system upgraded
Project Management
Proficient in planning, executing and delivering IT Projects on time and within budget.
Experience in project management tools and methodologies like Agile, Scrum, or PRINCE2.
Capability to manage multiple projects simultaneously and prioritize tasks effectively.
Resource Management
Skilled in allocating human, financial and technological resources efficiently.
Experience in vendor management and negotiating contractors for software, hardware, and services.
Ability to optimize resource usage to reduce costs and improve system performance.
Strategic Planning
Ability to align IT Infrastructure projects with organizational goals and strategies.
Experience in capacity planning and forecasting future infrastructure needs.
Understanding of IT roadmaps and how to plan for technological growth and scalability.
- Google’s AutoML
- Google Cloud Vision
Google Cloud AI Services
Proficient with Google AI & ML and have extensive experience in Google Cloud AI services, with expertise in pre-built solutions, GCP data storage, data processing, Python, TensorFlow, Docker, GKE, Terraform, DevOps, security, compliance, and monitoring tools.
Data and Analytics Services
Experience with GCP data storage solutions such as google cloud Storage, Big Query, Fire store, and Cloud Bigtable.
Familiarity with data processing tools like Dataflow, Pub/Sub, and Data prep.
- Cloud Firestore
- Google BigTable
- Bigquery
