Hakim Razman

Hakim Razman

Process Automation Lead Shell

Hakim is currently a Process Automation and Analytics Lead for Shell's trading and supply division, where he leads digitalization strategy and initiatives for commercial operations globally. His current portfolio covers a range of projects from managing E2E solution pipelines, system integrations, application & web developments and owning roadmaps covering solutions with risk exposures up to 80 mil USD.

Hakim started in shell as an automation specialist and within 6 months of joining, He has delivered a major risk monitoring application & dashboard for the commercial risk team and developed an AI module to manage regulatory reporting for the commercial operations team in Mexico.

Prior to this, he was a Consultant at Capgemini where he has created value for clients under the AppsOne division. His experiences include multiple Analytics(Analysis and Dashboarding) and RPA deliveries spanning multiple industries (Telecommunications, energy, utilities etc.) & verticals (HR, Finance, Sales etc.).Hakim started his career as a Mudlogging Analyst at Excellence Logging, where he worked in upstream resource exploration projects with Global and Local energy players successfully analyzing data for hydrocarbon detection and completing multiple drilling campaigns.

Hakim completed his tertiary education at University of Malaya where he finished his undergraduate studies in B.S. Geological Sciences with a semester abroad for his focused final year project in Chonnam National University, South Korea.

Main Conference Day 2 - February 25, 2026

12:00 PM Case Study: Designing for Precision: Data Architecture for Automated Regulatory Insights

As energy markets evolve, regulatory complexity is rising, especially in commodity trading, where carbon credit obligations vary across products and jurisdictions. This session explores how a custom-built AI solution transformed a fragmented, manual reporting process into a streamlined, intelligent workflow. Faced with inconsistent email confirmations and siloed data, regulatory analysts were spending hours reconciling contract terms and calculating obligations. By embedding process intelligence into the data architecture, Shell enabled real-time insight, reduced compliance risk, and accelerated operational decision-making.

Attendees will gain a practical understanding of how a modular architecture, anchored by a large language model for unstructured data extraction, a Python-based processing pipeline, and storage can be deployed to automate regulatory workflows. Hakim will share lessons learned in designing AI-ready data infrastructure, orchestrating multi-source ingestion, and aligning automation with compliance needs. This session offers a replicable framework for embedding AI into operational processes, empowering energy organizations to unlock speed, precision, and resilience in their data-driven decision-making. 

Check out the incredible speaker line-up to see who will be joining Hakim.

Download The Latest Agenda