As a passionate Cloud Engineer with 8+ years of experience, I thrive on solving complex challenges and optimizing cloud infrastructures. My journey began with a fascination for technology and a desire to harness the cloud's power to drive business innovation.
- ๐ง Problem Solver: Architecting scalable solutions for Fortune 500 companies
- ๐ก Innovation Enthusiast: Pioneering AI/ML integration in cloud environments
- ๐ค AI/LLM Pioneer: Building Agentic AI systems with GPT, Claude, and custom models
- ๐ DevSecOps Advocate: Integrating security into every phase of development
- ๐ MLOps Expert: Streamlining ML model deployment and monitoring
- ๐ฑ Continuous Learner: Always exploring emerging technologies
| ๐ฏ Achievement | ๐ Impact |
|---|---|
| Cloud Migration Leadership | 30% cost reduction for Fortune 500 clients |
| Performance Optimization | 50% application performance boost |
| Disaster Recovery Design | RTO reduced from 24h to 2h |
| AI/ML Pipeline Implementation | 80% faster model deployment |
| Agentic AI Systems | Built autonomous agents handling 10K+ daily tasks |
| DevSecOps Transformation | Zero security incidents post-implementation |
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AI/ML & LLM Engineering Agentic AI, Prompt Engineering, RAG Systems |
DevOps & MLOps DevSecOps, CI/CD, Model Deployment Pipelines |
- Enterprise RAG System: Built a Retrieval-Augmented Generation system processing 10M+ documents
- Multi-Model Orchestration: Integrated GPT-4, Claude, and Llama models for optimal task routing
- Agentic AI Framework: Developed autonomous agents for code review, testing, and deployment
- Prompt Engineering Platform: Created reusable prompt templates improving accuracy by 40%
- ML Pipeline Automation: End-to-end MLOps platform reducing model deployment time by 85%
- Security-First CI/CD: Implemented DevSecOps practices with automated vulnerability scanning
- Model Monitoring System: Real-time performance tracking for 100+ production ML models
- GitOps Implementation: Infrastructure as Code with automated drift detection
- Multi-Region Disaster Recovery: Zero-downtime failover across 5 AWS regions
- Hybrid Cloud Federation: Seamless workload migration between AWS, Azure, and on-premise
- Cost Optimization Engine: AI-driven resource allocation saving $2M+ annually
- Serverless ML Inference: Reduced inference costs by 70% using AWS Lambda and SageMaker
I'm always eager to connect with fellow tech enthusiasts, potential collaborators, or anyone interested in discussing cloud strategies, AI innovations, or space technology!
Whether you're looking to:
๐ง Optimize your cloud infrastructure
๐ค Implement AI/ML solutions
๐ Explore emerging technologies
๐ก Discuss the future of cloud computing
I'd love to hear from you!
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