SV.Résumé
Field Journal — Vol. 2026Washington, DCAI Engineer

ShrikanthVilvadrinath

An AI built this site. I built the AI.

I build production autonomous systems — agentic mortgage platforms, manufacturing ERPs, clinical AI pipelines, and live agent-to-agent networks that run without me in the room.

See the workRésumé idle · checking telemetry
Scroll — Field Note 01

Field Note 01 — Who

I'm an AI engineer finishing an MS in Data Science at the University of Maryland (4.0), after IIT Madras and an engineering degree in Ahmedabad. My work is multi-agent orchestration — LangGraph workflows, Temporal-backed pipelines, MCP servers, and A2A agent teams.

I care about the unglamorous parts: durability, recoverability, interpretability, and systems that fail gracefully at 3am. The fun part is when a fleet of agents ships real work while I sleep.

— Shrikanth

Now
AI Engineer
Based
Washington, DC
Studying
MS Data Science · UMD (4.0)
Obsessed with
agents that ship while I sleep

Field Note 02 — The Machine

I don't vibe-code. I command a team of agents.

I run an autonomous multi-agent stack in production. OpenClaw brokers structured task envelopes between agents — Kratos orchestrates, Loki scouts, Mimir writes and publishes, Hermes keeps the books — communicating asynchronously over Google ADK's A2A protocol and self-correcting around the clock.

A 'Justice League' of build agents ships code through the same envelope system, each commit attributed to the hero that wrote it. The newsroom ingests live feeds, reasons over them, and publishes — no human trigger.

Yes, agents helped build the site you're reading. That's the point: a generic AI site hides where it came from. This one shows you — because the origin is a system most engineers can't build.

Pantheon — live newsroom Control dashboard Source

agent roster — live

  • Kratosorchestrator — routes goals
  • Lokiscout — gathers signal
  • Mimirpublisher — writes & ships
  • Hermesarchivist — keeps the books
  • Justice Leaguebuild agents — ship code

A2A over Google ADK · brokered by OpenClaw · running on a DigitalOcean VPS

Field Note 03 — Work

A handful of systems I designed, shipped, and left running on their own. Selected entries — newest first.

  1. 2026

    The Pantheon — Autonomous A2A Newsroom

    A real-time agent-to-agent newsroom where autonomous agents publish articles, monitor live feeds, and surface oracle data with no human trigger. Agents run 24/7 on a DigitalOcean VPS via OpenClaw + Hermes, communicating over Google ADK's A2A protocol and self-correcting around the clock.

    Live in production. OpenClaw brokers task envelopes between Kratos, Loki, Mimir & Hermes into one auditable shared schema.

    Next.jsSupabaseOpenClawHermesGoogle ADK / A2ADigitalOceanVercel

    pantheon.twoby2.dev →

  2. 2026

    Git Gardener — Agentic Repo Intelligence

    Connect any GitHub repo and get a full health analysis with an LLM-generated reorganisation plan. A FastAPI backend decomposes each repo into a Temporal activity chain that classifies files, scores complexity, and ranks a cleanup roadmap by impact — with automatic retries and per-repo drill-down.

    Temporal-powered ingestion with GitHub OAuth; results persisted in Postgres via SQLAlchemy.

    Next.jsFastAPIPythonPostgreSQLSQLAlchemyTemporal.ioDocker

    gardener.twoby2.dev →

  3. 2025

    Diffusion / DiT Anomaly Detection

    Industrial surface-defect detection on the MVTec AD dataset using a modular diffusion / DiT-style model — a reproducible training pipeline with custom anomaly scoring and config-driven experiment management.

    PythonPyTorchCondaMVTec ADUMD DATA612

    View →

FIELD NOTE 04 — TRACK RECORD

Where the agents went to work — production systems shipped, not slideware. A few of the rooms I've built in.

  1. Jan 2026 — May 2026

    Confer Solutions AI

    AI EngineerRemote

    Built two production agentic platforms end-to-end.

    • Agentic Loan Origination System: a multi-tenant mortgage platform taking a borrower from application through AI document review, income verification, and underwriting decisioning — role-specific portals, ULDD compliance export, multi-investor rate pricing. Four MCP servers handle document retrieval, mortgage data extraction, and encrypted multi-party email; Temporal workflows make every origination stage durable and fully recoverable.
    • StoneFactory ERP: a full manufacturing ERP — sales orders, purchasing, CRM, production planning, inventory, wastage tracking, and multi-level approvals — plus a React Native PWA giving field teams real-time production access.
    • Next.js
    • TypeScript
    • Temporal.io
    • LangGraph
    • Supabase
    • BullMQ
    • Redis
    • Turborepo
    • Fastify
    • Drizzle

  2. May 2025 — Dec 2025

    NV Rad Imaging

    AI EngineerTampa, FL (Remote)

    Built an agentic patient-intake platform for a longevity imaging centre — AI agents extract and structure form data, run eligibility checks, and send automated follow-ups end-to-end with no manual handoff.

    • A clinical document-intelligence layer runs diagnostic reports through an LLM pipeline that extracts key terms, standardises terminology, and surfaces an interactive Q&A interface.
    • Reduced review time ~35% and resolved 90%+ of queries autonomously across 100+ reports.
    • Next.js
    • TypeScript
    • Supabase
    • LangGraph
    • Python
    • LangChain
    • Ollama

FIELD NOTE 05 — FOUNDATIONS

Where the groundwork was laid.

Aug 2024 — May 2026
College Park, MD
GPA 4.0 / 4.0

M.S. Data Science

University of Maryland, College Park

Jan 2021 — Dec 2024
Chennai, India
GPA 3.5 / 4.0

B.Sc. Data Science

IIT Madras

Sep 2020 — Jun 2024
Ahmedabad, India
GPA 3.5 / 4.0

B.Tech. Electronics & Communication

Vishwakarma Govt. Engineering College

Marginalia · Honors

  • Rank 5 — DSA Competition, IIT Madras
  • NumPy ML Certification (IITM Proctored Exam)
  • Member, Code:Black — UMD College Park

Field Note 06 — Toolkit

The instruments, indexed. What I reach for when a system has to ship and keep running without me.

Languages

TypeScriptPythonJavaC++SQLR

AI / Agents

LangGraphTemporal.ioOpenClawMCPA2A CommunicationAgent TeamsLangfuseVercel AI SDK@ai-sdk (Anthropic / OpenAI)

Web

Next.jsReactFastifyFastAPIFlaskDjangoReact Native (Expo)

ML / Data

PyTorchTensorFlowscikit-learnPandas

Cloud / Infra

AWS (S3, SageMaker)GCPPostgreSQLSupabaseRedisDockerTurborepoVercelDigitalOceanKafka

Colophon — Get in touch

Let's build something that runs itself.

shri15@terpmail.umd.eduGitHub LinkedIn Résumé

Set in Bricolage Grotesque & Geist Mono. Built with Next.js, deployed on Vercel. Agents helped build this — that's the point. See Field Note 02.

psst — type kratos