Maryland · AI Automation Services

AI Automation for Maryland Operators

n8n pipelines for Baltimore biotech, MD cybersecurity firms, and federal-adjacent contractors.

Serving: Baltimore · Annapolis · Rockville · Frederick
Waseem Nasir, AI automation engineer serving Maryland

Industries I automate in Maryland

  • Biotech (Johns Hopkins ecosystem)
  • Cybersecurity (Fort Meade adjacent)
  • Federal Contracting
  • Healthcare

Where Maryland teams lose time

1

Baltimore biotech startups produce experimental data faster than their analysts can process — data engineers are scarce and expensive.

2

MD cybersecurity firms manage SOC alerts across 4+ SIEMs with manual triage — analyst burnout is the business risk.

3

Maryland federal-adjacent contractors need commercial-grade automation that still meets NIST 800-171 boundaries.

Waseem Nasir, remote AI automation engineer

Client snapshot

What this looks like in practice

A Baltimore cybersecurity firm was losing L1 analysts to alert fatigue — 3000 alerts a day, 90% false positives. I built an n8n triage layer that runs each alert through Claude with context (prior incidents, asset criticality, MITRE mapping), auto-closes obvious noise, and elevates the 10% that need human eyes.

Who builds it: Waseem Nasir — AI automation engineer, digital nomad from Pakistan, based in Bali/ASEAN, serving global clients.

Frequently asked questions for Maryland clients

Can you automate SOC alert triage for a Maryland cybersecurity firm?

Yes. Claude or GPT-4o reads alert context, correlates with prior incidents, maps to MITRE ATT&CK, and drafts an initial triage note. L1 analysts stop drowning; L2 sees cleaner escalations. Both morale and MTTR improve.

How do Baltimore biotech startups scale data analysis?

LLM-assisted analysis pipelines — ingest instrument output, run GPT-4o or Claude over it for pattern detection, then surface candidate findings for human review. Not a replacement for analysts; a force multiplier.

What is the best AI tool for NIST 800-171 compliant automation?

Self-hosted n8n on client infrastructure plus Claude on AWS Bedrock or GPT-4 on Azure Government. Keeps data inside the NIST boundary. SaaS-only automation tools usually fail this bar — which is why I default to self-hosted.

Do you work with Maryland clients on federal-adjacent workflows?

Commercial-only side, yes. I do not touch CUI or classified data. For the 80% of federal-adjacent work that is commercial ops (vendor management, proposal automation, contract tracking), I ship normally.

Cut alert noise. Scale research. Book a free strategy call.

30-minute discovery call. No pitch deck. I map your current workflow, identify the highest-leverage automation targets, and tell you whether it makes sense to work together.