Enterprise Intelligence for Engineering & Technical Teams

Drastically reduce Key Person Dependency

Turn confidential company knowledge, current technical literature and accumulated subject expertise into a persistent AI knowledge core.

AI / KNOWLEDGE CORE

It works like ChatGPT, but it answers from the knowledge you choose and control. The intelligence stays useful because the knowledge core can keep growing over time.

A simple way to think about it

It is like ChatGPT for a specific engineering or technical subject, but with three important differences:

01Confidential corporate dataUse internal reports, procedures, calculations and project knowledge inside a controlled environment — without sending sensitive information into public AI workflows.
02A curated, up-to-date knowledge coreBuild the core from thousands of preselected books, articles, standards and technical sources instead of relying only on a generic model’s internal knowledge.
03Knowledge that accumulates and growsNew documents, validated answers and project learning can be added continuously, creating sustainable subject knowledge rather than starting from zero each time.
Who could benefit? Small to medium organisations — or even individuals — that need to preserve, organise and grow specialised knowledge.
TRY HYPERBRAIN ➔

Private, persistent engineering knowledge core

CONFIDENTIALITY
CURRENT SOURCES
ACCUMULATED KNOWLEDGE

Generic AI Limits

1

Sensitive information cannot be treated casually

Confidential calculations, client files and project data may be unsuitable for public AI services.

2

Generic knowledge may be incomplete or dated

A model can know a lot, but it does not automatically contain your newest books, papers, standards or internal decisions.

3

Knowledge is fragmented

Project files, expert know-how and technical references often remain scattered across people, folders and systems.

A controlled Digital Core

✓

Private data boundary

Keep corporate and confidential information inside the environment selected by the organisation.

✓

Curated technical sources

Use a maintained core of selected books, articles, standards and internal documents relevant to the subject.

✓

Source-grounded answers

Answers can point back to the documents and evidence used, making review and verification easier.

Traditional Search

4

Finds documents, not the whole context

Keyword search often returns isolated files or passages without connecting decisions, evidence and project history.

5

Expert knowledge can disappear

When people move roles or leave, undocumented reasoning and lessons learned can be difficult to recover.

Persistent Subject Memory

✓

Accumulates over time

Validated knowledge from new projects and new literature can be added to the same subject core.

✓

Preserves relationships

The system can retain links between sources, concepts, projects and decisions instead of storing only isolated text fragments.

✓

Supports continuity

Teams can build on previous work instead of recreating the same research and interpretation repeatedly.

A practical AI layer for confidential, current and continuously growing technical knowledge.
Engineering · Subsurface · Education

Turning complex science into practical impact.

PhD Reservoir Engineer, technical educator and project leader with 20 years of international experience across subsurface engineering, well technology, R&D and professional learning.

20 yrsInternational experience
60+Papers, proceedings & patents
400+Wells in technology deployment
Portfolio overview

This portfolio brings together field delivery, engineering education and technology leadership.

The material below is organised to begin with Schlumberger-related experience: field work, practical operations and intensive technical training. Broader lecturing, development work and industry event participation follow afterwards.

  • Schlumberger: field exposure, operations, technical training and international programs.
  • Engineering education: lecturing, mentoring, course delivery and capability building.
  • Technology leadership: turning complex subsurface knowledge into clear, applicable decisions.
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From subsurface complexity to trusted decisions, capable teams and deployable technology.Melbourne · Australia
Professional profile

A career spanning field engineering, R&D and learning.

My work sits at the intersection of technical credibility and communication: building solutions, validating them in the field, and helping specialists understand and apply complex engineering concepts.

Science and engineering educator with a PhD in Reservoir Engineering, substantial university and corporate training experience, and a long record of international technical project work. Experienced in subsurface hydraulics, well stimulation, well intervention, production logging, reservoir diagnostics, geological carbon storage and data-driven engineering workflows.

Technical learningCourses, workshops, structured learning resources
Subsurface engineeringReservoirs, interventions, diagnostics and logging
Technology R&DConcept-to-field validation and qualification
Program deliveryPlanning, scheduling, QA/QC and stakeholders
Energy transitionCarbon geological storage and decarbonisation
Digital engineeringAnalytics, ML and intelligent technical platforms
PhDReservoir Engineering
MBAOil & Gas, Curtin University
TRL 2–9Technology validation lifecycle
SPERegional award & committee work
Career journey

Technical depth with delivery responsibility.

Selected roles from the CV, emphasizing engineering delivery, technology development and education.

2022–2026

Project Manager

NSTC LLC

Developed technical specifications and algorithms for intelligent well-data analytics across petrophysics, geosteering, log interpretation and core analysis.

2021–2025

Lecturer in Petroleum Engineering

University Academic Programs · Adjunct

Taught advanced modules in reservoir geology, carbon geological storage, hydraulic fracturing, well intervention and production logging.

2017–2021

Subsurface Technology & Research Lead (CTO)

GeoSplit LLC

Led R&D and field implementation of tracer diagnostics, managing concept-to-field qualification and international deployment across 400+ wells.

2014–2015

Industrial Course Development & Technical Training

Peak Well Systems · A Schlumberger Company

Designed and delivered industry-focused technical learning for petroleum and energy professionals in Australia and the Asia-Pacific region.

2011–2014

Planning & Business Improvement Engineer

ADNOC / ExxonMobil JV

Coordinated multidisciplinary engineering programs across technical, operational, HSE, regulatory and contractor stakeholders.

2009–2011

Education Officer

Schlumberger Middle East Learning Center

Designed and delivered industrial and academic courses in hydraulics, well stimulation, downhole operations, well testing and diagnostics.

2004–2009

Subsurface & Interventions Project Manager

Schlumberger

Planned and delivered complex well-intervention and stimulation programs across Middle East operations.

What I bring

Built for multidisciplinary engineering.

A combination of subsurface science, real field exposure, product thinking, structured communication and stakeholder leadership.

01

Subsurface & well technology

Reservoir characterization, production diagnostics, well intervention, stimulation, logging and field implementation.

02

Carbon storage & energy transition

Teaching and technical communication around geological carbon storage, with broader exposure to decarbonisation technology evaluation.

03

Engineering education

Turning complex literature, procedures and field cases into structured learning for students, engineers and multidisciplinary teams.

04

Technology validation

R&D leadership from early concept through testing, qualification, field pilots, deployment and operational feedback.

05

Data & intelligent platforms

Technical specifications and workflows for analytics, machine learning and intelligent subsurface decision-support platforms.

06

Technical communication

60+ papers, conference contributions and patents, plus experience presenting to technical, academic and industry audiences.

Experience in practice

From the classroom to the wellsite and conference stage.

A visual record of teaching, technical development, intensive professional training, industry engagement and hands-on field experience across international engineering environments.

Education & development

Lecturing, training & development

University lecturing, Schlumberger Middle East Learning Center training, industrial course development and professional learning for multicultural technical audiences.

Schlumberger training

Intensive training programs

Structured technical learning and training environments, including intensive programs, workshops and professional capability development.

Industry engagement

Events participation

Conference attendance, professional events, networking and public-facing participation across the wider energy and technology community.

Schlumberger field experience

Hands-on field experience

Field-based work across wellsite operations, tools, service delivery and practical engineering activities in international environments.

Education & contributions

Science, business and professional leadership.

Formal education is reinforced by publication, committee and technology-evaluation experience.

2021

PhD · Reservoir Engineering

Reservoir Characterization & Subsurface Hydrodynamics

2016

MBA · Oil & Gas

Curtin University, Australia

2004

MSc · Petroleum Engineering

Gubkin State University of Oil & Gas

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Professional contribution

SPE Regional Award

Completions Optimization and Technology Award (2019), alongside committee work for SPE ADIPEC and SPE/IATMI APOGCE.

Professional award event
Contact

Professional focus & contact.

Areas of professional interest include subsurface technology, carbon storage, engineering education, technical learning, R&D and multidisciplinary project delivery in Australia.

Send an emailDownload CV
LocationMelbourne, Victoria, Australia