Services

What I help with

For worked examples of each of these areas, see selected work → on fnauman.com.

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.

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.

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.

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.

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.

Engagement models & packaged offers

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

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

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

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

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)

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 Contact

Or email: farrukh.nauman@inertialrange.com