services.qmd

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title: "Services"
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## What I help with

For worked examples of each of these areas, see [selected work →](https://fnauman.com/consulting.html) on fnauman.com.

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#### AI Automation Lead & Change Management

You know AI and coding agents will reshape how your organization runs — but you need someone who can lead the change without breaking production. I take ownership across the full arc:

- **Discovery & prioritization**: identify high-friction manual workflows, score automation opportunities by ROI and risk, and produce a sequenced roadmap.
- **Stack modernization**: plan and lead the move off legacy platforms, frameworks, and code — with evidence-based validation, not "lift-and-pray".
- **Agents in your workflows**: integrate coding agents and LLM-driven automation into existing analytics, engineering, and operational processes — with the harness, test discipline, governance, and operating constraints that make agents reliable in production.
- **Legacy code upgrades**: large code migrations (language, framework, platform) using behavioral oracles, evidence-preservation methodology, and `AGENTS.md` quality contracts.
- **Stakeholder steering**: align business owners, IT, data, legal/compliance, and security around a shared definition of done.
- **Capability building**: mentor your team so they own the system after I leave.

Engagement model: **interim AI Automation Lead** or **Change/Modernization Manager**, typically 3–9 months at 2–5 days/week. See engagement options below.
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#### Migration Assurance
You're migrating between data platforms and nobody can answer *"is the target data correct?"* with confidence. I build systematic cross-platform validation — automated comparison of schemas, row counts, key distributions, and date ranges across dozens of tables — plus dashboards the team can trust and defects surfaced early. *Databricks ↔ Snowflake.*
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#### Warehouse Cost & Performance
Your warehouse bill is growing faster than your data and pipelines run on brute-force full scans. I profile execution step by step, benchmark alternatives across data scales and warehouse sizes, and validate correctness with row-level comparisons — not just aggregate checksums. *Snowflake, Databricks, Spark, Snowpark.*
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#### Coding-Agent Workflows: Automation & Legacy Modernization
Your team spends too much time on manual notebook runs, repetitive SQL, copy-paste workflows, and aging code that nobody wants to touch. I design and implement coding-agent workflows for **analytics automation**, **pipeline modernization**, and **legacy code upgrades** (language, framework, or platform migrations) — with behavioral oracles, evidence-preservation, and the operating constraints that make agents reliable in production.
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#### Time Series / Telemetry ML
You have sensor, telemetry, or time series data and need production ML — activity recognition, anomaly detection, forecasting, or classification. I design and deliver systems from evaluation harness to production, with approaches fast enough for edge and IoT (ROCKET family, lightweight models) while maintaining accuracy.
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## Engagement models & packaged offers

Senior delivery without an open-ended project — sized from a 2-week audit to a multi-month interim leadership engagement.

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#### AI Automation Lead & Change Manager
Interim leadership for organization-wide AI / automation transformation — typically 3–9 months at 2–5 days/week.

**You get:**

- Roadmap ownership and prioritized automation portfolio
- Stack-modernization and legacy-upgrade leadership
- Stakeholder steering across business / IT / data / legal / security
- Governance-aware integration of coding agents into your workflows
- Capability building so your team owns the system after I leave
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#### Fractional / Interim Tech Lead
Senior technical leadership, roadmap ownership, and delivery discipline — from 1–2 days/week up to full interim team-lead engagements.

**You get:**

- Senior technical leadership and stakeholder alignment
- Technical direction for data platforms, ML, and GenAI automation
- Reviews, unblockers, and delivery accountability
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#### 2-week Discovery / Data & Feasibility Audit
Clarify the use case, assess data readiness, and identify the fastest path to value.

**You leave with:**

- A data readiness assessment (quality, access, gaps)
- A prioritized AI-automation opportunity map (ROI × risk)
- Success metrics and an evaluation approach
- A risk register plus recommended next steps
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#### 4-week Pilot (fixed scope, acceptance criteria)
Build and validate a pilot with defined deliverables, evaluation, and a clear handoff plan.

**You leave with:**

- Acceptance criteria agreed up front
- A working pilot and evaluation results
- A production handoff plan (architecture + next-step roadmap)
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## Who I work best with

- **Executives & transformation sponsors** who need an AI Automation Lead or Change Manager to own the AI / modernization roadmap end-to-end — not a strategy deck.
- **Data platform & engineering leaders** migrating between warehouses or modernizing legacy code who need systematic validation — not spot-checks and hope.
- **Technical sponsors & architects** who need a senior practitioner to lead or unblock a workstream — someone who owns deliverables, not slide decks.
- **Teams with telemetry or time series data** that need production ML — activity recognition, anomaly detection, or forecasting — not a research paper.

## How it works

1. **Intro call**: a short conversation to assess fit and define the problem.
2. **Scope**: a lightweight proposal with deliverables, timeline, and dependencies.
3. **Kickoff**: align on success criteria and get access to data/systems.
4. **Delivery**: weekly check-ins and fast feedback cycles.
5. **Handoff**: deliverables, documentation, and a clear next-step roadmap.

## Next step

[Book a call](https://calendar.app.google/sH8s13r8keotW6jf9){.btn .btn-primary}
[Contact](contact.qmd){.btn .btn-outline-secondary}

Or email: [farrukh.nauman@inertialrange.com](mailto:farrukh.nauman@inertialrange.com)