Founder & AI Solution Architect, RAYFINITE LLC

Building AI-native systems
with 16+ years of enterprise depth.

I architect and ship production-grade AI platforms — multi-agent orchestration, retrieval-augmented generation, and cloud-native engineering — grounded in over a decade and a half building and securing systems that real organizations depend on.

16+
years in enterprise & AI engineering
3
tiered AI agent system, self-designed
7+
production-grade AI systems architected

About

Enterprise depth, applied to the AI frontier.

I'm an AI Solution Architect and Senior Software Engineer with 16+ years architecting, building, and securing enterprise systems — now applying that depth to the design of production-grade AI platforms and to AI-native software engineering methodology itself.

I designed and operate a tiered, multi-agent AI engineering system — Opus, Sonnet, and Haiku models routed by task, role-specialized agents, and human-gated deploys — and used it to deliver FactGuard, a multi-surface AI fact-verification platform (iOS, web, REST API, and MCP server). I've architected additional production-grade systems spanning offline-first multimodal safety tooling, cloud/edge hybrid incident response, and evidence-integrity infrastructure for AI pipelines.

My practice combines hands-on work across the modern AI stack — the Anthropic Claude API, Apple Foundation Models, Google Vertex AI, MCP servers, RAG, and multi-agent orchestration — with deep cloud (AWS, Firebase/GCP), security (NIST 800-53), and full-stack experience leading a team of three engineers at a U.S. state agency.

Fluent in English, Telugu, and Hindi.

Currently

Founder & AI Solution Architect
RAYFINITE LLC — Los Angeles, CA

Building AI-native products end-to-end: architecture, engineering, security, and launch — through a proprietary multi-agent engineering platform.

Education

MS, Computer Science
New York Institute of Technology
Specialization: Artificial Intelligence

Capabilities

An agentic-AI-engineering practice, built on deep systems fundamentals.

The skill set that differentiates my practice: designing and operating multi-agent AI systems — not just calling an API, but architecting how AI agents plan, verify, and ship software safely.

AI Architecture

  • Retrieval-Augmented Generation
  • Multimodal Pipelines
  • On-Device / Edge Inference
  • Hybrid Cloud-Edge AI
  • MCP Servers (author)
  • Safety-by-Design
  • Confidence Scoring
  • Dual-Layer Guardrails

AI Models & Inference

  • Anthropic Claude
  • Apple Foundation Models
  • OpenAI GPT-4
  • Groq
  • Google Vertex AI
  • NotebookLM
  • LLaMA 3 / LLaVA
  • Whisper · Piper
  • llama.cpp · MLC-LLM · Ollama

AI Tooling & Frameworks

  • Model Context Protocol
  • LangChain
  • Tool Use / Function Calling
  • FAISS · pgvector · SQLite-VSS
  • MiniLM Embeddings
  • LoRA Adapters
  • Fine-Tuning Pipelines
  • Multi-Provider Routing + Circuit Breaker

Agentic Coding

  • Claude Code
  • Cursor
  • Google Antigravity
  • GitHub Copilot
  • VS Code
  • Pair-Programming with LLMs

Cloud & DevOps

  • AWS (EC2, S3, Lambda, VPC, IAM)
  • Firebase (Functions, Firestore, App Check)
  • Google Cloud Platform
  • Docker · Kubernetes
  • GitHub Actions · CI/CD
  • Infrastructure as Code

Application Stack

  • iOS (Swift 6, SwiftUI, StoreKit 2)
  • React · React Native · Next.js
  • Tauri (Rust)
  • Node.js · TypeScript
  • Python · FastAPI
  • WebSockets

Data & Storage

  • Firestore
  • PostgreSQL · pgvector
  • SQLite · Redis
  • Microsoft SQL Server
  • MongoDB
  • Power BI

Security & Compliance

  • NIST 800-53
  • Pre-Deploy Security Audits
  • Secret Manager
  • Firestore Security Rules
  • Zero-Trust Credentials · RBAC
  • Palo Alto · Splunk · Tenable

Architecture & Leadership

  • Solution Architecture
  • Technical Architecture Documents
  • ADRs
  • Cloud-Native Design
  • Microservices
  • Team Supervision & Mentoring
  • SDLC Ownership

Also exploring: Microsoft Azure, Oracle Cloud, VMware.

Career

Experience

  1. Founder | AI Solution Architect

    Jan 2026 – Present

    RAYFINITE LLC · Los Angeles, CA

    Founded a solo venture studio building AI-native products end-to-end — architecture, engineering, security, and launch — operated through a proprietary multi-agent AI engineering platform.

    • Architected a multi-agent AI software-engineering platform with tiered model routing, role-specialized agents, and fail-closed CI security-review gates verified adversarially with bait pull requests.
    • Delivered FactGuard, a multi-surface AI fact-verification platform (iOS, web, public REST API, MCP server) on Firebase/GCP with a proprietary multi-step verification engine and multi-provider model routing.
    • Built a cloud/edge hybrid multi-agent platform for IT incident response, with incident-commander orchestration, zero-trust credential handling, and blast-radius analysis before any automated action.
    • Designed an evidence-integrity layer for AI verification pipelines using Ed25519 cryptographic signing to detect and reject tampered or poisoned inputs.
    • Built a CRDT-based distributed coordination store letting AI agents on multiple machines share state and knowledge without a central server.
  2. IT Technical Specialist Supervisor | Solution Architect

    Jan 2015 – Jun 2026

    Maryland Longitudinal Data System Center · Baltimore, MD

    • Led solution architecture, development, and operations for the agency's full digital footprint — a public-facing site serving 100,000+ annual visitors, an intranet portal, and a portfolio of integrated enterprise applications.
    • Prototyped a Retrieval-Augmented Generation solution on Google Vertex AI, Google AI Studio, and NotebookLM to surface insights from internal agency documents.
    • Evaluated locally-hosted open-source LLMs via Ollama and LLaMA 3, integrated through LangChain and MCP servers, for secure on-premise AI under data-sovereignty constraints.
    • Drove a 2–3x acceleration in team delivery velocity by adopting AI-assisted, agentic coding workflows with Claude Code, Cursor, GitHub Copilot, and VS Code.
    • Architected and led a data-center migration of 40 virtual servers and 30 desktop VMs, delivering a 50%+ improvement in system performance.
    • Spearheaded AWS cloud adoption — disaster recovery, application hosting, and off-site storage via EC2, S3, Route 53, Lambda, ELB, VPN, and VPC networking.
    • Modernized legacy Oracle WebCenter dashboards onto Microsoft Power BI, improving refresh times and lowering licensing exposure.
    • Strengthened cybersecurity posture with NIST-aligned firewall and detection rules, partnering with the SOC team on Palo Alto Firewalls, Splunk, and Tenable.
    • Supervised and mentored a team of three IT staff and owned the full SDLC.
  3. Senior Software Engineer | Technical Consultant

    Aug 2011 – Jan 2015

    Tejase Technologies Inc. · Des Moines, IA

    • Logitech Inc. (Project Manager) — delivered enterprise architecture and technical consulting across Fortune 500 and public-sector clients, leading initiatives from solution design through production rollout.
    • Catamaran Rx (Senior Application Architect / ECM Consultant) — architected enterprise content-management solutions on Oracle Fusion Middleware, improving document-workflow efficiency for a healthcare benefits leader.
    • Minnesota Housing Finance Agency (Senior Technical Consultant) — drove strategic IT modernization: web application development, integrations, and platform stability.
  4. Software Engineer | Technical Consultant

    Feb 2008 – Aug 2011

    Fusion Global Solutions · Overland Park, KS

    • Delivered application development and technical consulting using ASP.NET, C#, JavaScript, jQuery, and SQL Server across clients including Minnesota Housing, the Commonwealth of Massachusetts, AmeriHealth Administration, the State of Nebraska, Kaplan Eduneering, and Hearst Corporation.

Selected Work

Projects

Production-grade systems I've architected and built at RAYFINITE LLC — spanning AI fact-verification, agentic engineering infrastructure, incident response, evidence integrity, distributed coordination, and consumer apps.

FactGuard

Multi-surface AI fact-verification platform

iOS, web, public REST API, and MCP server on Firebase/GCP — a proprietary multi-step verification engine, multi-provider model routing with a circuit breaker, and live Stripe subscription billing.

  • iOS
  • Web
  • REST API
  • MCP
  • Firebase/GCP
  • Stripe
Visit factguard.org

RAYFINITE Agentic Framework

Multi-agent AI software-engineering platform

Tiered model routing, role-specialized executive and engineering agents, fail-closed CI security-review gates verified adversarially with bait pull requests, cross-machine agent federation, and skill supply-chain allowlisting — packaged as a versioned, installable plugin.

  • Multi-Agent Orchestration
  • CI Security Gates
  • Plugin Architecture
Visit rayfinite.com

AEGIDON

Cloud/edge hybrid multi-agent IT incident response

Incident-commander orchestration with six specialist agents, a graduated permission model, zero-trust credential handling, blast-radius analysis before any action, and end-to-end audit logging.

  • FastAPI
  • WebSockets
  • PostgreSQL
  • Redis
  • Zero-Trust

DiamondHull

Evidence-integrity layer for AI pipelines

Provenance-tracked evidence records with Ed25519 cryptographic signing, so tampered or poisoned inputs are detected and rejected before they influence model output.

  • Ed25519
  • Provenance
  • Evidence Integrity

Zenolon Engine

CRDT-based distributed coordination store

Lets AI agents running on multiple machines share state, tasks, and knowledge with each other — without a central server.

  • CRDT
  • Distributed Systems
  • Multi-Agent

Dataveb

No-code web-scraping & automated-reporting SaaS

Python/FastAPI, Next.js, and Playwright, architected security-first — including an SSRF-guarded extraction layer and per-tenant usage metering.

  • FastAPI
  • Next.js
  • Playwright
  • SSRF-Hardened
Visit dataveb.com

WeatherHappiness

iOS wellbeing app

SwiftUI + HealthKit app correlating weather patterns with personal health metrics, with a companion web experience — on Firebase/GCP.

  • SwiftUI
  • HealthKit
  • Firebase/GCP

Foundations

Education & Professional Development

Education

Master of Science, Computer Science

New York Institute of Technology — Manhattan Campus, NY · Jan 2006 – May 2008

Specialization: Artificial Intelligence, Operating System Security, Compiler Theory, Software Engineering, Computer Graphics.

Bachelor of Technology, Computer Science & Information Technology

Jawaharlal Nehru Technological University (JNTU) — Hyderabad, India · Jun 2001 – May 2005

Coursework: Data Structures, Operating Systems, Database Management, Information Security, Cloud Computing.

Professional Development & Training

  • Anthropic — Multiple AI / LLM courses with completion certificates: prompt engineering, Claude API integration, applied AI workflows.
  • AWS Training & Certification (Instructor-Led) — Architecting on AWS, Developing on AWS, AWS Cloud Practitioner Essentials Day.
  • State of Maryland — Multiple cybersecurity training programs: security awareness, NIST controls, incident response.
  • Self-Directed AI Engineering — Hands-on work with the Anthropic Claude API, Apple Foundation Models, Firebase/GCP, Vertex AI, Google AI Studio, NotebookLM, LangChain, MCP servers, Groq, Google Antigravity, Ollama, LLaMA 3, llama.cpp, and Jupyter Notebooks.

Let's talk

Open to conversations about AI architecture, engineering leadership, and what's next.

Whether it's a role, a collaboration, or just trading notes on agentic AI systems — I'd love to hear from you.

Los Angeles, CA · Open to hybrid