Solutions Architect with 14+ years of experience in:
- Enterprise-scale application development
- Cloud computing and large-scale distributed systems
- Migration strategies from on‑premise to cloud-native architectures
- Modern data platforms and data-driven solutions
I architect solutions that prioritize four critical pillars:
- Scalability – Systems that handle growing workloads and users while maintaining performance
- High Availability – Fault-tolerant architectures with redundancy and failover for 99.9%+ uptime
- Cost Optimization – Designs that balance performance with efficient resource utilization and ROI
- Security – Defense-in-depth approaches embedded throughout the development lifecycle
Currently, I am expanding my expertise through hands-on work with:
- Generative AI projects
- AI agent development
- Model Context Protocol (MCP) implementations
My approach combines deep technical expertise with strong business acumen to deliver solutions that create measurable organizational value.
- Programming & Frameworks: Python, Java, Spring Boot, PySpark
- AI/ML & LLMs: Generative AI, LangChain, AI/ML integration, intelligent agents
- Cloud Platforms: AWS, Azure, Google Cloud Platform
- Data & Integration: Modern data platforms, streaming, ETL/ELT, API-first design
- DevOps & Platform Engineering: CI/CD, Infrastructure as Code, Containerization, Kubernetes
- Portfolio Website:
https://www.cloudprojects.site
Explore selected projects, architectures, and AI/ML work, and download my latest resume.
Open to discussing Solutions Architect, Principal Engineer, and Staff Engineer roles at forward-thinking technology companies working on cloud, data, and AI-driven products.
