Cloud Modernization
Modernized legacy and monolithic systems into cloud-native architectures that improve reliability, latency, maintainability, and cost efficiency.
Invention + Innovation
Modernizing platforms for speed, intelligence, and scale.
Real-time Decisioning
Designed event-driven platforms using streaming, serverless, and distributed processing patterns for latency-sensitive decisioning workflows.
Personalization + ML
Built backend architecture for recommendation systems, user affinity modeling, contextual personalization, and behavioral signal processing.
Impact
Low-latency, production-ready AI/ML systems
Led architecture for personalization and recommendation workloads supporting high-throughput request paths and helped drive a 40% reduction in end-to-end latency.
I focus on patterns that let product, data science, architecture, and platform teams translate experimentation into reliable backend and data systems.
Technical Areas
- Event-driven systems and distributed processing
- Microservices and low-latency APIs
- AWS Kinesis, Kafka, Redis, Airflow, and serverless services
- Recommendation systems and personalization platforms
- Model-serving integrations and A/B testing support
- RAG, LangChain, LLM integration, and agentic AI
- Observability, fault tolerance, and operational readiness
Selected Evidence