I’m a Senior AI Engineer and Software Consultant specializing in building scalable backend infrastructure, distributed systems, and production-grade AI platforms. My work sits at the intersection of AI systems engineering and backend architecture — designing and developing autonomous AI agents, multi-agent workflows, orchestration layers, and scalable services using Python, Golang, and modern cloud-native technologies. Over the years, I’ve worked across B2C, enterprise, and AI-driven platforms, building systems such as: Agentic AI and LLM-powered automation platforms AI customer support and sales automation systems Real-time socio-analytics platforms Delivery orchestration systems with multiple 3PL integrations Enterprise workflow systems for global clients including HSBC and DHL I have extensive experience designing microservices, serverless architectures, event-driven systems, and distributed backend platforms using technologies like AWS, Terraform, OpenSearch, vector databases, and modern DevOps tooling. More recently, my focus has evolved toward AI infrastructure and orchestration — building reliable AI systems using MCPs, A2A communication patterns, retrieval pipelines, and scalable agent orchestration frameworks capable of operating in production environments. Beyond implementation, I help teams make better architectural decisions around scalability, observability, testing strategies, cloud infrastructure, and long-term maintainability. I enjoy solving complex engineering problems, collaborating across distributed teams, and building systems that deliver measurable operational impact at scale. If you’re building AI-native products, distributed platforms, or scalable backend systems, let’s connect.
