From First Milestone
To Flawless Delivery.

We manage the full lifecycle of your most critical IT initiatives โ€” aligning stakeholders, engineering timelines, and removing friction at every phase to ensure outcomes, not just outputs.

Built to Scale.
Engineered for Intelligence.

We architect the cloud-native and hybrid environments that power enterprise AI โ€” from GPU cluster provisioning and MLOps pipelines to secure, production-ready deployment at scale.

Your Data Has Answers.
We Surface Them.

Advanced machine learning models trained on your domain data to surface patterns, forecast outcomes, and generate intelligence that drives measurable business decisions.

01 ยท the-challenge

Most enterprises aren’t short on technology.
They’re short on execution.

Legacy infrastructure, fragmented data, and AI pilots that never leave the sandbox โ€” the gap is rarely the tools. It’s the program discipline to connect them to a real outcome.


  • Infrastructure that can’t keep pace
    Legacy systems and siloed environments slow down every transformation initiative before it starts.

  • AI without a foundation
    Models get built, but without scalable infrastructure or governance, they rarely make it to production.

  • Data that isn’t decision-ready
    Dashboards exist โ€” insight doesn’t. Raw data rarely translates into action without the right analysis layer.

  • Programs that drift
    Without disciplined PM governance, even well-funded initiatives stall on scope, timeline, or stakeholder alignment.

02 ยท the-approach

Three disciplines.
One connected outcome

Every engagement draws on the same three capabilities โ€” sequenced differently depending on where you’re starting from.

PILLAR / 01

AI Infrastructure Design & Implement

Architecture and deployment of scalable, secure infrastructure purpose-built to take AI initiatives from pilot to production.

PILLAR / 02

AI-Based Data Analysis

Predictive and prescriptive analysis that converts operational data into forecasts, risk signals, and decisions leadership trusts.

PILLAR / 03

IT Project Management

End-to-end governance for complex, multi-stakeholder IT programs โ€” from business case to go-live, on budget and on time.


03 ยท the-journey

A career built like a deployment pipeline.

Every stage shipped something the next one depended on.

January 1, 2014
IT Systems Analyst

Started in enterprise IT operations โ€” infrastructure monitoring, systems documentation, and first exposure to large-scale program delivery.

January 1, 2014
January 1, 2016
IT Project Lead

Led my first end-to-end infrastructure rollout across multiple business units โ€” scope, schedule, and stakeholder management under real budget pressure.

January 1, 2016
April 8, 2018
Senior IT Project Manager

Took on multi-country, multi-vendor programs โ€” building the PMO discipline that would later anchor every AI and data engagement.

April 8, 2018
April 1, 2020
AI Infrastructure Consultant

Shifted focus toward AI โ€” designing the first MLOps practice I led, moving models from notebooks into governed production environments.

April 1, 2020
August 1, 2022
Head of AI Infrastructure & Data Analytics

Led the combined AI infrastructure and analytics function for enterprise clients across manufacturing, energy, and financial services.

August 1, 2022
January 1, 2019
Senior IT PM & AI Infrastructure Consultant

Independent consulting across IT project management, AI infrastructure, and AI-based data analysis for organizations navigating large-scale transformation.

January 1, 2019

04 ยท capability-map

Where I operate.

Every stage shipped something the next one depended on.

IT Program Governance

PMO, risk, delivery

Cloud Architecture

Azure, AWS, hybrid

MLOps & AI Infrastructure

Model serving, pipelines

Predictive Data Analysis

Forecasting, modeling

Data Engineering

Pipelines, warehousing

Stakeholder Leadership

Cross-functional delivery


05 ยท service explorer

Pick a discipline. See how I work.

Every stage shipped something the next one depended on.

IT Project Management

Governance for complex, multi-stakeholder programs โ€” built to keep delivery on scope, on budget, and on time.

  • PMO design & setup
  • Risk & issue governance
  • Agile and waterfall delivery
  • Vendor & contract management
  • Stakeholder alignment
  • Budget & resource planning

AI Infrastructure Design & Implementation

Architecture and deployment of the infrastructure layer AI initiatives need to move from pilot to production.

  • MLOps pipeline design
  • Cloud & hybrid architecture
  • Model serving & monitoring
  • AI governance frameworks
  • Scalability & cost optimization
  • Security & compliance design

AI-Based Data Analysis

Turning raw operational data into forecasts, risk signals, and decisions leadership can act on.

  • Predictive modeling
  • Demand & resource forecasting
  • Executive dashboarding
  • Data pipeline engineering
  • Anomaly & risk detection
  • Decision-support analytics

06 ยท case-studies

Selected engagements.

Representative work across the three disciplines โ€” details anonymized for client confidentiality.

IT PROJECT MANAGEMENT โ€” MANUFACTURING

Enterprise infrastructure modernization, global manufacturer

CHALLENGELegacy on-prem infrastructure causing recurring downtime and blocking scale across 6 regional plants.
SOLUTIONRan a phased PMO-governed migration to hybrid cloud, with risk gating at each rollout stage.
TECH USED
AzureKubernetesCI/CDServiceNow
0
UPTIME
0
COST REDUCTION
AI INFRASTRUCTURE โ€” FINANCIAL SERVICES

Production MLOps platform for a financial data team

CHALLENGEFragmented data pipelines with no path for AI models to reach production.
SOLUTIONDesigned and implemented an MLOps platform with model serving, monitoring, and governance built in.
TECH USED
PythonMLflowKubernetesSnowflake
0
FASTER DEPLOYMENT
0
MODELS IN PRODUCTION
AI DATA ANALYSIS โ€” LOGISTICS & ENERGY

Predictive demand forecasting for a logistics operator

CHALLENGEManual forecasting led to recurring inventory and resource waste across distribution centers.
SOLUTIONBuilt an AI-based forecasting pipeline feeding directly into planning dashboards used by operations leadership.
TECH USED
PythonXGBoostPower BIAzure Data Factory
0
LOWER FORECAST ERROR
0
LESS OPERATIONAL WASTE
IT PROJECT MANAGEMENT โ€” HEALTHCARE

Multi-region IT rollout for a healthcare network

CHALLENGEDistributed teams across 6 countries with conflicting regulatory deadlines.
SOLUTIONStood up a centralized PMO with country-level compliance tracking and vendor coordination.
TECH USED
JiraSmartsheetPower BI
0
AHEAD OF SCHEDULE
0
COMPLIANCE FINDINGS

Projects Delivered
Clients
Years of Experience
AI Solutions Implemented

The most dangerous phrase in enterprise AI is “we’ll sort out the infrastructure later.” By then, you’re not building a system — you’re fighting one.

— Alex Mercer, speaking at AI Enterprise Summit 2024


// 07 ยท certifications

Credentials & recognition.

Placeholders below โ€” swap in your real certifications and official badge artwork (not AI-generated, for authenticity).

PMP

Project Management Professional

PMI ยท Issued 2019

CSM

Certified Scrum Master

Scrum Alliance ยท 2018

AZ-
AI

Azure AI Engineer Associate

Microsoft ยท 2022

AWS-
ML

AWS Certified Machine Learning โ€“ Specialty

Amazon ยท 2023

GCP-
DE

Professional Data Engineer

Google Cloud ยท 2023

ITIL

ITIL Foundation

AXELOS ยท 2017


Let’s talk about your next program.

Whether it’s a stalled IT initiative, an AI pilot that needs real infrastructure, or data that isn’t yet driving decisions โ€” I’d like to hear about it.

EMAIL : info@iotekconsulting.com

COMPANY : IOTEK Consulting