AI Technology Specialist and Content Creator with expertise in Enterprise corporations, hybrid platform engineer, artificial intelligence trends, analysis, and communication. Passionate about making complex AI concepts accessible to diverse audiences through comprehensive research, insightful analysis, and engaging content creation.

Key strengths include:

• Making IT happen, getting the ball rolling
• Deep understanding of AI industry trends and developments
• Ability to translate technical concepts for diverse audiences
• Strong research and analytical capabilities
• Proven track record in content creation and strategy

Founder & Lead Analyst

RisiAi • 2024 - Present

• Research and analyze global AI developments and trends
• Create Agentic setups for any purpose business and process
• Translate complex technical concepts into accessible insights
• Monitor industry developments across multiple AI sectors

IT Professional Since 1999

🎓 Certifications

A collection of my AWS certifications, each with official badge links and summaries.

🟦 AWS Certified Data Engineer – Associate

Issuer: Amazon Web Services Training and Certification

🟦 The Open Group Certified: TOGAF® Enterprise Architecture Practitioner

Issuer: The Open Group

🛠️ Skills

☁️ Cloud & Architecture

• Cloud Computing Fundamentals (AWS Cloud Practitioner, Cloud Quest)
• AWS Well-Architected Framework
• Solutions Architecture (Associate & Professional)
• Infrastructure Design & Deployment
• High Availability & Fault Tolerance
• Cost Optimization & Cloud Economics

🔒 Security & Compliance

• AWS Security Best Practices
• Identity & Access Management (IAM)
• Data Protection & Encryption
• Governance, Risk, and Compliance (GRC)
• Incident Detection & Response

📊 Data & Analytics

• Data Engineering & Pipelines
• Data Lakes & Warehousing (Redshift, Lake Formation)
• Real-time & Batch Processing (Kinesis, Glue)
• Data Visualization & Reporting (QuickSight)
• Performance Tuning & Cost Optimization in Data Workloads

🤖 AI & Machine Learning

• AI & ML Fundamentals
• Generative AI Concepts (LLMs, prompt engineering basics)
• Machine Learning on AWS (SageMaker, Rekognition, Comprehend)
• MLOps & Deployment of ML Models
• AI Strategy & Responsible AI Principles

⚙️ Serverless & Application Development

• Event-Driven Architectures
• Serverless Application Development (Lambda, DynamoDB, API Gateway)
• Containerization & Orchestration (ECS, EKS, Fargate – implied by architect track)
• CI/CD and DevOps Practices
• Application Monitoring & Troubleshooting

🏗️ Hands-On Cloud Experience (Cloud Quest)

• Gamified Labs & Scenario-Based Learning
• Solution Design under Simulated Business Challenges
• Practical Application of AWS Services
• Cross-functional Cloud Skills (Architecture, ML, Serverless)