Open Source Contributions
Contributions to production open-source projects at Google, Microsoft, AT&T, Ericsson, and international open-source organizations. Author of two multi-agent AI reference implementations.
Authored Frameworks
Multi-agent AI reference implementations built from the ground up, both implementing Microsoft's Agent Framework (MARA) pattern.
Go-based multi-agent financial assistant with 15 role-specialized agents, JWT + RBAC, AES-256-GCM encryption, hash-chained audit logs, and full OpenTelemetry tracing. RBI FREE-AI compliant. Production reference implementation of Microsoft's MARA pattern.
Virtual physician panel on MARA, inspired by Microsoft's MAI-DxO. FHIR R4 + HL7 v2 aware with role-specialized diagnostic agents. HIPAA-compliant architecture with clinical decision support workflow.
Google Cloud
Core contributor to Google's open-source schema + data migration engine for Cloud Spanner. Designed and shipped backend APIs, CDC pipelines (Datastream → Pub/Sub → Dataflow), and schema conversion engine for MySQL/PostgreSQL → Cloud Spanner. Built streaming CDC pipeline reducing migration time by ~40%.
Microsoft & Enterprise Partners
Open-source collaboration with AT&T, Ericsson, and Microsoft on cloud-native Kubernetes infrastructure.
Kubernetes operator for managing Azure resources declaratively, in collaboration with Ericsson, AT&T, and Microsoft. Designed CRD-based provisioning workflows for Azure Networking, Storage, and Compute with drift detection and auto-reconciliation.
Open-source platform for automated cloud provisioning, in collaboration with AT&T and Ericsson. Integrated OpenTelemetry observability into the CI/CD pipeline, reducing manual operations by ~30%.
GSoC & Community Projects
Open-source contributions through Google Summer of Code and community organizations.
Unified API library for managing cloud resources across AWS, GCP, and Azure. Contributed as GSoC 2017 student, building provider abstraction layers and multi-cloud compute/storage APIs.
Enhanced the CX interpreter for deterministic blockchain transaction execution. Implemented Pratt parser reducing parsing complexity by ~30%. Contributed as GSoC 2018 student.
Collaborate
Open to collaboration on multi-agent AI, cloud-native infrastructure, and production systems. Get in touch →