Lead Python Engineer | Software Architect | Cloud & AI Engineer

I am a Senior Python Engineer and Software Architect with more than 15 years of commercial experience designing and delivering backend services, distributed systems, cloud-native platforms, and data-intensive applications.

I specialize in Python backend development, microservices, event-driven architecture, API design, and scalable cloud-native systems. My hands-on experience spans Google Cloud Platform, AWS, and Microsoft Azure.

I build AI-enabled backend solutions using LLM integrations, Pydantic AI, LangGraph, AI agents, agentic workflows, MCP, FastMCP, and RAG patterns. I also develop data engineering pipelines and knowledge graph integrations for complex enterprise environments.

My cloud and data engineering background includes Kubernetes, Docker, BigQuery, Dataflow, Dataproc, Apache Beam, PySpark, Dagster, and Airflow. I have worked with multi-petabyte datasets, SQL and NoSQL systems, graph databases, and distributed messaging platforms.

I bring technical leadership experience through architecture reviews, code reviews, mentoring, and delivery coordination. I have mentored more than 20 developers and hold the Google Cloud Professional Cloud Architect certification.

I have also contributed to secure banking and enterprise software platforms, including security assessment, scanner integration, release-readiness, observability, and API gateway workflows.