Enterprise Java Solution Architect with 17+ years of experience designing scalable, secure, high-performance distributed systems across AWS and Azure. Expert in microservices, event-driven architecture, API strategy, and cloud-native platform engineering for healthcare, fintech, and financial services. Currently specialising in Agentic AI and LLM integration (RAG/GraphRAG, LangChain4j, AWS Bedrock) for intelligent automation and self-healing enterprise platforms.
Overview
22
22
years of professional experience
4
4
Certification
22
22
Post-secondary education
3
3
Languages
Work History
Senior Solution Architect
Independent Consulting
01.2025 - Current
Architected Agentic AI platforms using Java 17, LangChain4j, LLMs, and RAG/GraphRAG (Neo4j) for real-time log analysis and automated root cause detection
Designed Spring WebFlux microservices with FAISS/OpenSearch on AWS reducing API latency by 40%; engineered self-healing platforms via Agentic AI and Istio cutting incidents by 35%
Senior Technical Lead
Cognizioni / Capgemini
10.2024 - 12.2024
Led Azure cloud modernisation defining AKS microservices architecture; resolved scalability bottlenecks improving system availability to 99.9% SLA
Established observability architecture using Azure Monitor, Splunk, and OpenTelemetry, significantly reducing mean time to resolution (MTTR)
End Client: Microsoft
Technical Lead III – Solution Architect
Photon Interactive
09.2020 - 06.2024
Designed Multi-Cloud HA Platform (AWS + Azure) using Terraform and Kubernetes (EKS/AKS); automated disaster recovery ensuring 99.99% uptime and 100% SOC2/GDPR compliance
Architected Zero Trust Security Framework with custom Java WAF; integrated mTLS, OAuth2, and OWASP Top 10 mitigations reducing attack surface by 80%
Transformed IBM BPM/Camunda into Kafka-driven Spring Boot microservices achieving 21% throughput gain and 18% infrastructure cost reduction
Client: MedImpact Healthcare
Principal Software Engineer – API & Platform Architect
Photon Interactive
01.2018 - 08.2020
Led monolith-to-microservices migration (Spring Boot / Spring Cloud) improving release velocity by 45%; architected modular API platform enabling 50% faster vendor onboarding (28+ integrations)
Implemented self-healing patterns in AWS EKS improving reliability by 35%; deployed Prometheus/Grafana observability stacks reducing P1/P2 incidents significantly