● SENIOR IT PROFESSIONAL · PERTAMINA HULU ROKAN

Muhammad Fajrul Haqqi

AI Engineer & Master of Computer Science in AI (UGM). 4+ years architecting enterprise Agentic AI, high-throughput RAG pipelines, and large-scale data governance platforms.

Explore AI Systemsgithub.com/fajrulhaqqi

★ M.C.S. AI · UGM (GPA 3.82 / 4.00)✓ Full Gov Scholar (Top 5)⚡ AI Initiatives Lead

shield-ai-runtime · v2.4

ONLINE

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// Initializing Pertamina Enterprise HSE Intelligence...

AGENTICMulti-department HSE Document Intelligence

VECTORMilvus DB indexed 1,000+ internal reports

Current Status: Serving compliance & risk queries via FastAPI microservices on hybrid cloud.

Latency: 142msSimilarity: 0.94 cosine

Stack: FastAPI · Milvus · Next.js · GKE · Agentic AI

BY THE NUMBERS · PRODUCTION IMPACT

Quantified Engineering Deliverables

Years of AI Engineering

Production experience building end-to-end ML models, data pipelines, and scalable backends.

1,000+

Enterprise Reports

Integrated into multimodal document intelligence chatbots at Pertamina Hulu Rokan.

1,300+

Databases Governed

Ingested, classified, and analyzed across 9 Telkom Indonesia directorates using MS Purview.

3.82

UGM Master's GPA

Full 2-year government scholarship recipient (top 5 awardees); thesis in Transformer detection.

CHRONOLOGICAL CAREER

Work Experience & Leadership

4 Key Enterprise Appointments

Current Role

Pertamina Hulu Rokan

Senior IT Professional – IT Business Application

Jan 2025 – Present · Riau, ID

Lead AI initiatives in IT Business Applications: Spearheading the architecture of SHIELD AI, an enterprise Health, Safety, and Environment (HSE) platform to streamline compliance, incident investigation, and real-time risk classification.
Deploy Agentic & Multimodal Architecture: Implemented advanced RAG document intelligence pipelines querying 1,000+ multi-department technical reports with semantic citation verification.
High-Throughput ML Infrastructure: Designed backend microservices and asynchronous data pipelines ensuring reliable, low-latency model serving across upstream business workflows.

Agentic AIRAGMultimodal LLMsMilvus Vector DBFastAPIPython

Data Governance

Telkom Indonesia

Lead Data Steward

Sep 2024 – Jan 2025 · Jakarta, ID

Enterprise Data Discovery & Risk Governance: Formulated comprehensive Data Discovery and Classification reports, risk heatmaps, and security mitigation blueprints across 9 directorates of Indonesia’s largest telecommunications conglomerate.
Automated 1,300+ Database Scans: Engineered personal data classification routines utilizing Microsoft Purview and DataHub to ensure regulatory compliance and strict data privacy posture.

Microsoft PurviewDataHubData DiscoverySecurity ClassificationEnterprise SQL

Automotive & Cloud

Hino Motor Sales Indonesia

Full Stack Developer

Sep 2023 – Sep 2024 · Jakarta, ID

Production Enterprise Dashboards: Developed and shipped 5+ critical internal modules utilized across sales, distribution, and operational divisions.
Standardized Next.js Frontend Framework: Established standardized architectural components for internal portal applications, drastically accelerating cross-team feature velocity.
Scalable GCP Deployments: Architected backend APIs and managed containerized deployments on Google Cloud Platform (GKE, Compute Engine).

Next.jsGoogle Cloud (GKE)DockerNode.jsPostgreSQL

AI & Geophysics

Geoseismal Research Center

Software Developer | AI Engineer | Project Manager

Feb 2022 – Jan 2025 · Yogyakarta, ID

AI for Subsurface Exploration: Formulated specialized machine learning models for 3D Fault Identification, Low Resistivity Low Contrast (LRLC) reservoir prediction, and 1D Geomechanical modeling.
Industry-Wide Client Engagements: Managed high-stakes project deliveries with Pertamina, BMKG (Meteorological, Climatological, and Geophysical Agency), and Schlumberger.
Schlumberger Dataiku Partnership: Adapted Dataiku pipelines into cloud-native web modules, deployed for geophysical modeling in subsurface engineering.

Dataiku3D Fault MLGeomechanicsPython Scikit-LearnBMKG / Pertamina / SLB

SYSTEMS & ARCHITECTURE

Featured AI Implementations

Filter by engineering domain to explore architecture and technical design decisions.

Enterprise HSE Platform

SHIELD AI Document Intelligence

Autonomous multi-agent document intelligence engine indexing 1,000+ technical HSE logs, providing contextual safety compliance and risk assessment at Pertamina Hulu Rokan.

Agentic AIRAG PipelineMilvus Vector DBFastAPI+3

Telkom Data Platform

1,300+ DB Data Discovery Engine

Comprehensive data cataloging, PII detection, and automated classification pipeline connecting 9 directorates with Microsoft Purview and DataHub.

Microsoft PurviewDataHubPythonSQL Server+2

UGM Master's Thesis

Transformer Earthquake Phase Picker

Novel transformer-based deep learning sequence architecture for high-precision seismic waveform detection and sequential phase identification.

PyTorchTransformersSignal ProcessingSeismology+1

Geophysics & SLB

3D Subsurface Fault Predictor

Machine learning suite for 3D seismic fault identification and 1D geomechanical modeling, integrated with Schlumberger Dataiku cloud platform.

Dataiku DSSPython3D SeismicXGBoost / SVM+2

Automotive Enterprise

Hino Next.js Dashboard Standard

Standardized enterprise portal architecture and containerized microservice backend deployed on Google Cloud Kubernetes Engine (GKE).

Next.jsGoogle Cloud (GKE)DockerNode.js+2

CAPABILITIES & TOOLS

Technical Competency Matrix

Practical mastery honed across enterprise production environments and academic research.

Agentic AI Architecture✦

Multi-agent orchestration, tool-calling workflows, enterprise autonomy.

RAG & Vector Retrieval✦

Dense retrieval, hybrid search, Milvus vector database indexing.

Multimodal LLM Systems✦

Document intelligence, OCR analysis, multi-report synthesis.

Transformers & Deep Learning✦

PyTorch sequence modeling, time-series seismic phase picking.

XGBoost & Random Forest✦

Petrophysical property prediction, tabular data optimization.

Support Vector Machines✦

Nonlinear kernel classification for geophysical well log datasets.

ACADEMIC FOUNDATION

Higher Education & Research

Double alumnus of Universitas Gadjah Mada (UGM) with full state merit scholarships covering both degrees.

Master of Computer Science (AI)

GPA: 3.82 / 4.00

Universitas Gadjah Mada · Aug 2022 – Jan 2024

Merit Award: Full 2-year government scholarship awarded to only 5 selected candidates across Riau Province.

Thesis: Transformer-Based Model for Earthquake Signal Detection and Sequential Phase Picking.

Bachelor of Science (B.Sc) in Geophysics

GPA: 3.37 / 4.00

Universitas Gadjah Mada · Aug 2017 – Aug 2021

Merit Award: Full 4-year government scholarship awarded to only 40 applicants across the province.

Thesis: Estimation of Effective Porosity Well Log Using XGBoost and Random Forest Algorithm.

PEER-REVIEWED PAPERS

Refereed Publications

Published scientific research applying machine learning to subsurface geophysics and reservoir petrophysics.

Journal of Physics: Conference Series (JPCS) · 2023

An Implementation of XGBoost Algorithm to Estimate Effective Porosity on Well Log Data

Published in Vol. 2498, No. 1, presented at the 11th International Conference on Physics (ICOPIA). Proves machine learning superiority in nonlinear reservoir petrophysics characterization.

Machine LearningXGBoostReservoir Physics

Journal Geosaintek · 2025

Effective Porosity of Well Log Data Using Support Vector Machine (SVM)

Published in Vol. 11, No. 1. Investigates kernel-based support vector machines for robust subsurface porosity estimation across variable lithologies.

Support Vector MachinesPetrophysicsSVM

RECOGNITION & CREDENTIALS

Hackathons, Delegations & Specialized Training

🥈

Jun 2025 · Semarang, Indonesia

2nd Winner · GeoDataAI Indonesia & Microsoft Hackathon

National AI hackathon solving enterprise geospatial & geophysical challenges utilizing Microsoft AI cloud architecture.

🌐

Sep 2022 · Zurich, Switzerland

Team Delegation · Schlumberger Digital Forum

Selected international delegate representing collaborative AI research at Schlumberger’s flagship global technology summit.

🥉

Oct 2021 · Jakarta, Indonesia

3rd Winner · DELFI Data Science Hackathon

Organized by Schlumberger Indonesia, tackling reservoir characterization through advanced data science on the DELFI cognitive platform.

🎓

2025 – 2026 · Technical Mastery

Agentic AI Academy & SQL Server Trainer

Trained as SQL Server Trainer for Schlumberger Geophysics (Jun 2025); Agentic AI Academy participant (Oct 2026); Red Hat OpenShift & Dataiku.

COLLABORATION & INQUIRIES

Let’s Connect for Enterprise AI Leadership

Open to enterprise AI consulting, high-throughput machine learning architecture discussions, and key technical collaborations.

DIRECT EMAIL (CLICK TO COPY)

fajrulhaqqi@gmail.com

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LINKEDIN PROFILE

linkedin.com/in/fajrulhaqqi

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GITHUB REPOSITORIES

github.com/fajrulhaqqi

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Send a Direct Message

Inquiries regarding enterprise architectures, talks, or consultations.