Senior Full Stack Engineer · Solutions Architect
Washington, DC · Telugu · Hindi · English

I’m a Senior Engineer and Architect with 15+ years building scalable, secure platforms — federal cloud services, Backstage developer portals, and agentic AI systems.

I care about products that remove friction from real life. The hardest problems I take on sit at the intersection of trust, payments, identity, and matching.

I live in the Washington, DC area. I have spent most of my career as the person teams call when the architecture is messy and the deadline is real — Java and Spring Boot services, Angular and React front ends, AWS and Azure platforms, Kubernetes, and now agentic AI on Bedrock, LangGraph, and MCP.

Colleagues I have worked with on federal / GSA-IT programs have described me as the go-to for hard problems: architect the framework, ship the feature, mentor the junior engineer, and stay until it works.

What I am unusually good at

• Designing scalable platforms with authentication, search, and notifications
• Trust boundaries: RLS, identity verification, least-privilege admin, no client-side money math
• Developer platforms: Backstage catalogs, Entra ID SSO, GitHub sync, TechDocs
• Agentic workflows that are engineered, not just prompted — typed tools, HITL, retries, MCP

Languages I speak: Telugu (native) · Hindi · English

A technical publication on AI-driven, bio-inspired cybersecurity for microservices, covering the system architecture, methodology, and integration patterns.

Cybersecurity inspired by the human immune system. SDI explores how microservices can detect unusual behavior, isolate suspicious traffic, and adapt their defenses as threats evolve.

Its documented architecture connects five stages: detection → isolation → attack-signature extraction → defensive mutation → propagation.

• AI-based detection: a Gaussian Mixture Model analyzes HTTP request patterns for anomalies.
• Threat isolation: honeypot environments capture suspicious requests for analysis.
• Adaptive defense: genetic algorithms and polymorphic code mutations are designed to turn observed threats into reusable defenses.
• Service integration: Java / Spring Boot, Python, and Node.js SDKs, with REST APIs, Kafka event streaming, and Kubernetes sidecar deployment patterns.

Read the publication · Source code · Architecture · Node.js SDK on npm

An engineered peer-review agent: LangGraph + MCP, Pydantic structured output, human-in-the-loop on every tool. Built to show how agentic AI belongs in a real software workflow, not as a one-shot prompt.

Modular service catalogs with Microsoft Entra ID SSO, GitHub sync, and TechDocs automation — so teams can see what they own.

ATS-oriented resume drafting from natural-language prompts and job alignment.

Cross-cloud DevSecOps with Terraform, Kubernetes, LangChain, and AWS Bedrock for orchestration and assistants.

A curated collection of real-world LLM apps, agents, and RAG patterns.

• Trust-first consumer marketplaces (identity, matching, escrow, staged dispatch)
• Agentic AI on AWS Bedrock, LangGraph, and MCP — including code-review and DevOps assistants
• Backstage plugins for catalog intelligence and service visibility
• Cloud cost and privacy-aware GPU / inference runtimes

⭐ If you care about trust systems or agentic engineering — connect. I am always happy to talk shop or collaborate.