Distributed Systems
gRPC Microservices Reference
End-to-end reference implementation demonstrating secure, observable, production-grade microservices using Go and gRPC.
GogRPCPostgreSQLOpenTelemetry
Distributed Systems · Cloud Platforms · Applied AI
Building reliable systems
that scale and make
a real impact.
I design and build distributed systems, cloud-native platforms, and AI-enabled infrastructure. I combine architecture ownership with hands-on implementation to solve complex, real-world problems at scale.
“Technology is most powerful when it helps people solve real problems.”
Scalable Platforms
Reliable Systems
Applied AI
Real-World Impact
Distributed Systems
Design for scale and resilience
Cloud Platforms
AWS, GCP, Kubernetes
Applied AI
Practical, production-ready
Observability
Metrics, tracing, reliability
Security
Zero trust, least privilege
About
Technical leadership for distributed platforms.
I architect and build distributed backend systems, cloud-native platforms, and secure AI-enabled infrastructure. I'm passionate about building reliable systems, enabling teams, and solving complex problems that have a real impact on customers and businesses.
500K+
Nodes Managed
(at peak)
Millions
Users / Requests
(at peak)
Global
Cloud & Enterprise
Environments
Real Impact
From infrastructure
to customer outcomes
Featured Engineering
Selected projects and case studies.
AI Security
AgentTrust
Least-privilege identity and independently enforced tool authorization for AI agents, with scoped run identities, MCP enforcement, audit evidence, and observability.
AI SecurityGoPythonMCPOpenTelemetry
Platform Engineering
Observability & Troubleshooting Platform
Distributed observability and troubleshooting platform spanning scalable backend architecture, reliability engineering, secure service design, and technical leadership.
KubernetesRedisPostgreSQLOpenTelemetry
Patents & Innovation
Patents and applied innovation
Selected work in cloud observability, distributed diagnostics, and service troubleshooting.
U.S. Patent Application
Cloud Observability Framework for Providing Troubleshooting and Monitoring for Services
U.S. Patent Application 19/069,767 · Filed 2025
Patent application for a cloud observability framework that enables troubleshooting and monitoring of services.
View Patent →Experience & Credentials
Engineering experience built across systems at scale.
Experience
Zscaler
VMware
Asurion
Apple/Wipro
IBM
Recognition
GATE — Joint All India Rank 2
2× Apple Best Solution Award
IBM Bravo Award
Education
M.Tech, IIT Madras
B.Tech, Osmania University
Certifications
AWS Certified Solutions Architect — Associate
Zscaler Zero Trust Cyber Associate (ZTCA)
Deep Learning Specialization — DeepLearning.AI
Zscaler: Senior Staff Software Engineer; VMware: Staff Software Engineer; Asurion: Principal Software Engineer; Apple / Wipro: Technical Lead / Senior Engineer; IBM: Software Engineer