Architecting intelligent, scalable systems that solve real-world problems at enterprise scale
Full-stack engineer with proven expertise in designing enterprise-grade systems, AI-integrated solutions, and distributed backend architectures. I focus on building robust, scalable systems that balance performance with maintainability—from microservice design to production-grade LLM implementations.
Currently architecting ERP systems and AI-powered features at scale, with a strong foundation in system design, performance optimization, and modern DevOps practices.
- AI/LLM at Scale - Production LLM implementations, prompt engineering, model optimization, and RAG systems
- Enterprise Architecture - ERP design, complex business logic, API ecosystems, and data pipeline management
- Backend Systems - Microservices, distributed architecture, concurrency patterns, and high-performance computing
- Infrastructure - AWS ecosystem, containerization strategies, CI/CD orchestration, and infrastructure automation
- Blockchain & Web3 - Smart contract development and decentralized application architecture
- ✍️ Technical writing and architectural documentation
- 🔍 Code review and architectural guidance
- 📚 Open-source contributions and knowledge sharing
- 🎓 Mentor for emerging engineers
| Domain | Expertise |
|---|---|
| Distributed Systems | Microservices architecture, event-driven design, eventual consistency, fault tolerance |
| Enterprise Solutions | ERP platforms, business process automation, complex integrations, scalable data models |
| AI Integration | LLM pipelines, vector databases, prompt optimization, production ML deployment |
| Performance Engineering | Database optimization, caching strategies, load testing, benchmarking |
| System Design | Capacity planning, scalability patterns, security considerations, trade-off analysis |
Currently exploring advanced topics in distributed systems, large-scale LLM applications, and architectural patterns for high-performance computing. Passionate about staying at the cutting edge while maintaining pragmatism in real-world implementation.
Open to discussing architectural challenges, technical mentorship, collaboration on ambitious projects, or opportunities in advanced computer science.