arun.v

About

Senior AI engineer. 11+ years shipping production SaaS.

I specialize in multi-agent orchestration, agentic safety, and LLMOps for regulated, high-scale environments. I build the unglamorous parts of platform: the typed state object, the citation verifier, the eval pipeline, the integration that has to survive a duplicate webhook at 3am. I prefer measured outcomes over adjectives, contracts over conventions, and a small surface area over a clever one.

Recent work: PolicyMind, a four-agent RAG platform with 92.5% citation accuracy and 100% escalation recall behind CI-enforced RAGAS gates; CollectMind, a LangGraph vehicle telemetry policy engine with COVESA VSS validation and confidence-gated deployment; and Agentix ERP, a greenfield multi-tenant SaaS ERP with a 10-step autonomous onboarding agent on AWS Bedrock.

Before that: 11+ years across healthcare SaaS. EMR clinical workflows, e-prescribing on AWS with DEA EPCS-compliant identity federation, and a multi-source EHR migration program that moved millions of patient records with zero data loss.

I hold an MS in Computer Science and Engineering from Oakland University and a BS in Computer Science from Jawaharlal Nehru Technological University. I am based in Lake Orion, Michigan. Open to senior backend, full-stack, and AI engineering roles based in the US (remote, hybrid, or on-site). H-1B with approved I-140, transfer-eligible.

Where I have spent my time, what I owned, and what shipped.

  1. 2021 to present

    Senior Software Engineer

    Modernizing Medicine (ModMed)

    • PolicyMind (Dec 2025 to Feb 2026): four-agent LangGraph RAG platform with hybrid retrieval (Qdrant + BM25 + RRF + cross-encoder), NLI-based hallucination verification, 92.5% citation accuracy at p95 < 800ms, 100% escalation recall, 167 CI-gated tests.
    • EMA clinical workflows and mmRxService (Mar 2025 to Nov 2025): Java / Spring Boot e-prescribing on AWS with SQS/SNS, Kafka, DynamoDB, Okta, and SureScripts integration.
    • EHR data migration (Apr 2021 to Mar 2025): TRAKnet, Sammy, and Exscribe to EMA. Hundreds of practices, millions of records, zero data loss across all production cutovers.

  2. Dec 2014 to Apr 2021

    Software Developer / Senior Software Developer

    Nemo Health LLC

    • NemoRx (May 2018 to Apr 2021): multi-tenant SaaS e-prescribing with React frontend, Cosmos DB partition-key isolation, SureScripts integration, and DEA EPCS-compliant identity federation via Okta and Exostar.
    • TRAKnet (Dec 2014 to Apr 2021): podiatry EHR platform on .NET / WPF / UWP / WinForms across hundreds of active practices. Led distributed offshore engineering team.

  3. May 2014 to Sep 2014

    Software Developer

    ATCO Industries Inc.

    • Enterprise .NET applications and SQL Server data models supporting operational workflows.

  4. 2013 to 2015

    MS, Computer Science and Engineering

    Oakland University, Michigan

  5. 2008 to 2012

    BS, Computer Science and Engineering

    Jawaharlal Nehru Technological University, India

Skills

Stack

Day-to-day work and working knowledge, grouped honestly.

Agentic AI / GenAI

Day-to-day

  • LangGraph
  • Multi-Agent Orchestration
  • ReAct Tool-Calling
  • Versioned Prompt Registry
  • GPT-4o (structured output)
  • text-embedding-3-large
  • Qdrant
  • BM25 + Vector Hybrid + RRF
  • Cross-Encoder Reranking
  • RAGAS
  • LLMOps

Working knowledge

  • Model-Agnostic Routing
  • A/B Testing

Agentic Safety & LLM Security

Day-to-day

  • NLI Hallucination Verification
  • PII Redaction (referential)
  • Confidence-Gated Deploy
  • Action Authorization Registries
  • Compliance-Guard Architecture

Working knowledge

  • LlamaGuard

Backend

Day-to-day

  • C# / .NET Core
  • ASP.NET Core Web API
  • Java / Spring Boot
  • Python / FastAPI
  • Entity Framework
  • REST
  • Swagger / OpenAPI
  • Microservices
  • Event-Driven Architecture

Working knowledge

  • gRPC
  • WCF (legacy)

Frontend

Day-to-day

  • TypeScript
  • React
  • Angular
  • Next.js
  • SPA Architecture

Working knowledge

  • Tailwind CSS v4
  • WPF / UWP / XAML (legacy)

Cloud & Deployment

Day-to-day

  • Azure AI Foundry
  • Azure (App Insights, Cosmos DB)
  • AWS (Bedrock, Lambda, SQS/SNS, DynamoDB, S3, SES)
  • Docker
  • Kubernetes
  • GitHub Actions
  • Azure DevOps

Working knowledge

  • Vercel

Data / Streaming

Day-to-day

  • PostgreSQL
  • TimescaleDB
  • SQL Server / T-SQL
  • Cosmos DB
  • MySQL
  • Qdrant
  • Apache Kafka
  • Redis
  • Elasticsearch / Kibana

ML / Data Science

Day-to-day

  • Scikit-learn
  • Isolation Forest
  • Time-Series Anomaly Detection
  • Feature Engineering
  • Model Training / Tuning / Eval

Observability & Practices

Day-to-day

  • Application Insights
  • Langfuse
  • Prometheus
  • Grafana
  • RAGAS CI gates
  • xUnit
  • Moq
  • Eval-gated deploys

Working knowledge

  • SLSA
  • OWASP ASVS

Outside the editor

Not all of it is code

Cricket

Captain of the Oakland County Cricket Club. Team management and field captaincy turn out to be uncannily similar to technical leadership: the people problem is the problem.

Designing Agentic AI applications

I have been designing agentic AI applications to solve problems where multi-step reasoning, tool use, and autonomous decision-making produce better outcomes than traditional code.