1
2


Chemical Engineer & ML Practitioner at Saudi Aramco

UCL-trained chemical engineer with a Minor in AI, currently on the pre-commissioning team for the Abu Ali Gas Oil Separation Plant. Previously on Aramco's Digital Team applying ML to upstream facilities. Building toward the intersection of machine learning and energy systems.

Mohammed Alhashem
Open to opportunities

My Journey

Work 2026 – Present

Pre-commissioning Engineer

Saudi Aramco · Abu Ali Island

  • Part of the Berri Crude Increment Program targeting 250,000 BPD production uplift
  • Working on the Abu Ali Gas Oil Separation Plant, a greenfield facility
Work 2025 – 2026

Digital Solutions Engineer

Saudi Aramco · Ras Tanura

  • Developed an ML-based demulsifier optimisation system using XGBoost, achieving 8.9% chemical reduction in field trials
  • Led a cross-functional team of 5+ engineers and industrial specialists to design a solution graduation framework for evaluating vendor vs. in-house digital tools
  • Applied the framework to advance 4 solutions through structured assessment and pilot deployment, with 1 reaching full-scale rollout
Education 2022 – 2025

BEng Chemical Engineering with AI Minor

University College London · London

  • First Class Honours · 82.6% GPA · Dean's List Distinction
  • 2× Le Rossignol Sessional Prize for academic performance · Best Design Project Prize
  • Final Year Project: designed and optimised a high-temperature water gas shift reactor for syngas-to-DME conversion using nonconvex optimisation in Python and process simulation in GAMS/ASPEN
  • Minor in AI: built a Premier League match prediction model in Python and modelled an airport cleaning robot using a factored MDP approach
Work 2024

Associate Consultant Intern (ACI)

Bain & Company · Riyadh

  • Contributed to an AI investment strategy engagement for a Saudi public sector client as part of an 8-person consulting team
  • Built benchmark comparisons against international models to identify ecosystem gaps and shape client recommendations
Certification 2024

Financial Modeling & Valuation Analyst (FMVA)

Corporate Finance Institute

Work 2023

Process Engineering Intern

Carbon Clean · London

  • Ran ProMax simulations comparing CycloneCC against conventional carbon capture configurations, with outputs feeding into 10+ active client projects.
  • Built an OPEX estimation template that cut early-stage cost modelling from hours to minutes, subsequently adopted across the team.

// CONTACT

Get in touch

Early in my career and genuinely curious. If you're working at the intersection of energy and ML, I'd like to hear from you.