Hello, I’m

  • 0Years in IT & Data
  • 0Cloud cost reduction
  • 0Stores served
  • 0Students supervised

00 — About

From infrastructure engineering to enterprise AI leadership

I am an IT solutions leader working across enterprise infrastructure, data engineering, and applied AI. Today I head the IT, data, and AI function at PT MAP Active Adiperkasa Tbk, the public-listed sports retailer of the MAP Group, where I have grown from hands-on engineering into enterprise leadership over the past decade.

My day-to-day scope runs from medallion lakehouse architecture on Microsoft Fabric to multi-vendor Agentic AI (Microsoft Foundry, AWS Bedrock, Google Vertex AI), security operations, and enterprise-wide automation. The platform my team runs serves 15+ stakeholder groups — Operations, Merchandise, Supply Chain, Finance, HR, Audit, and Marketing — with governed data access for 500+ users and a 99.9%+ uptime commitment for mission-critical reporting.

Alongside the corporate role, I lecture in Data Science at Universitas Nusa Mandiri, serve BPKH and the Indonesian Geospatial Information Agency (BIG) as a subject-matter expert, and publish research in NLP and recommendation systems.

01 — Experience

A track record across enterprise, government, and education

Jan 2024 — Present PT MAP Active Adiperkasa Tbk · Jakarta

Information Technology Manager — Data & AI

Mar 2026 — Present · previously IT Data Associates Manager (Jan 2024 — Feb 2026)

Architect and govern the enterprise IT, data, and AI strategy for a 7-country, 3,000+ store retail ecosystem. Lead and mentor a core team of data engineers and analysts serving 15+ business stakeholder groups across Operations, Merchandise, Supply Chain, Audit, HR, Finance, COE, and Marketing — while overseeing infrastructure, security, and automation initiatives.

  • Champion Agentic AI transformation across a multi-vendor stack — Microsoft Foundry, AWS Bedrock, Google Vertex AI, Claude AI, and Gemini.
  • Lead AI Data Agent (MCP) deployment and CRISP-DM MLOps for demand forecasting and predictive modelling across merchandising and supply chain.
  • Delivered 60%+ cloud cost reduction by migrating to a modern Microsoft Fabric lakehouse; 50%+ faster reporting through Direct Lake medallion architecture.
  • Governed data access for 500+ users across 7+ countries through RLS / CLS / OLS models spanning 500+ brands.
  • Sustain 99.9%+ uptime SLA for mission-critical reporting; define the long-term roadmap to decommission legacy systems.
Jan 2025 — Nov 2025 BPKH (Badan Pengelola Keuangan Haji) · Consulting

Tenaga Ahli Sistem Kemaslahatan — Welfare System Expert

Spearheaded the digitalisation of the Welfare Management System (SIM Kemaslahatan), migrating manual Excel-based workflows into a centralised Laravel web application.

  • Defined system requirements and architectural solutions; ensured successful project delivery with the development team.
  • Conducted stakeholder training and onboarding for BPKH officials, members of the Indonesian Parliament (DPR), and partner foundations / NGOs.
  • Built near-real-time internal reporting from PostgreSQL to Google Sheets via 15-minute cron jobs, enriched with Google Apps Script and visualised in Looker Studio.
Jul 2024 — Nov 2024 Badan Informasi Geospasial (BIG) · Indonesia

Assistant Tenaga Ahli Sistem Produksi — Production Systems Expert Assistant

  • Conducted strategic assessments and provided technical recommendations for production system implementation at new server sites.
  • Benchmarked technology solutions and collaborated on scalable system architectures based on rigorous technology evaluations.
Aug 2020 — Jan 2026 Universitas Nusa Mandiri · Jakarta

Lecturer in Data Science

Designed project-based curricula in Machine Learning, LLMs (GPT, Gemini, Hugging Face Transformers), MLOps, and web frameworks (Streamlit, Gradio, Flask, FastAPI). Mentored 20+ students through end-to-end ML projects from prototyping to deployment on Hugging Face Spaces and Streamlit Cloud.

  • Supervised three capstone tracks: real-time news sentiment analysis, Google Play Store review sentiment, and real-time stock price forecasting (LSTM).
  • Published academic research in NLP, sentiment analysis, and recommendation systems — SINTA ID 6762248, ~196 Google Scholar citations.
Jun 2014 — Dec 2023 PT Mitra Adiperkasa Tbk (MAP Group) · Jakarta

IT Associate Manager — Infrastructure

Mar 2023 — Dec 2023 · previously IT Technical Lead (Feb 2019 — Feb 2023) and earlier roles (2014 — 2019)

  • Delivered enterprise infrastructure projects: SolarWinds NCM, HCL BigFix, CrowdStrike, SOTI MobiControl, Trend Micro Mobile Security, Fortigate / FortiToken, BMC Asset Management.
  • Built Power BI dashboards for IT asset management and BMC ticketing; implemented RPA workflows using UiPath.
  • Led R&D and delivery of IBM QRadar Security Intelligence, HCL BigFix endpoint management, and Smart Mikrotik.
  • Reconfigured network and IT infrastructure for MAP Active Thailand; implemented VPN IPSec (Fortigate HO to Mikrotik) for Starbucks stores; supported 1,500+ PCs across all MAP stores.
2010 — 2014 Earlier career

IT Project Engineer · Assistant Instructor · ATM Operations

IT Project Engineer at PT. Kahar Duta Sarana (2013 — 2014): rolled out ETP application upgrades and database migrations across all MAP stores nationwide. Assistant Instructor at Bina Sarana Informatika (2013): taught networking, Windows Server administration, virtualisation, and C# programming. ATM Operations at PT. Armorindo Artha (2010 — 2012): monitored ATM operations for BCA, BII, Mandiri, and Bank DKI; coordinated vendor resolution (Hyosung, Diebold, Wincor).

02 — Expertise

Core capability and technology stack

Strategy & Leadership

Data and AI strategy, team building and mentoring, stakeholder management (15+ teams, C-suite to operations), Agile / Azure DevOps, change management, vendor and platform selection.

AI & Agentic Systems

Agentic AI across Microsoft Foundry, AWS Bedrock, Google Vertex AI, Claude AI, and Gemini. Fabric AI Agent (MCP), MLOps with CRISP-DM, LLM productionisation, Hugging Face, OpenAI GPT, AI governance.

Data Engineering

Modern lakehouse and medallion architecture, Microsoft Fabric, Power BI Direct Lake, SSIS, PySpark, Python, SQL, Azure Synapse, ETL / ELT pipelines, DAX / M.

Security & Governance

Row-Level, Object-Level, and Column-Level Security (RLS / CLS / OLS) for 500+ users across 7+ countries and 500+ brands. Data cataloguing, CrowdStrike, Fortigate, Docker, Kubernetes.

Automation & BI

Power Automate, Power Apps, Power BI Embedded, SharePoint, RPA (UiPath), Azure DevOps CI/CD, Google Looker Studio, self-service analytics enablement.

Engineering & Cloud

Python, FastAPI, Streamlit, Gradio, Flask, C#, Google Apps Script. Docker, Kubernetes, VMware, AWS, GCP, Alibaba Cloud, Mikrotik, Cisco.

Technology stack

Microsoft FabricPower BIAzure SynapseAzure DevOpsDirect LakeMedallion / LakehousePySparkPythonSQL (T-SQL)DAX / MSSISMicrosoft FoundryAWS BedrockGoogle Vertex AIClaude AIGeminiOpenAI GPTHugging FaceLLMAI AgentsCRISP-DMMLOpsFastAPIStreamlitGradioFlaskC#DockerKubernetesAWSGCPAlibaba CloudPower AutomatePower AppsUiPathLooker StudioGoogle Apps ScriptCrowdStrikeFortigateMikrotikCiscoVMware ESXiHyper-V

03 — Education & Credentials

Academic foundation, certifications, and publications

A consolidated view of formal education, industry-recognised credentials, and peer-reviewed research.

Academic foundation

2017 — 2019

Master of Computer Science (M.Kom)

Universitas Nusa Mandiri

Thesis: Sentiment Analysis with Automatic Labeling using VADER on Islamophobia in Social Media.

2015 — 2016

Bachelor of Computer Science (S.Kom)

Universitas Nusa Mandiri · Information Technology

2011 — 2014

Computer Engineering

Bina Sarana Informatika · Salemba, Jakarta

Featured credentials

Click any badge image or “Verify” link to open the official issuer record. Full list on LinkedIn.

AWS AI & ML Learning Plan

Completed learning plans from AWS Skill Builder. Click any certificate image to open the full PDF.

AWS Artificial Intelligence Practitioner Learning Plan certificate
AWS · AI

AWS Artificial Intelligence Practitioner Learning Plan

View PDF
Exploring Artificial Intelligence Use Cases and Applications certificate
AWS · AI

Exploring Artificial Intelligence Use Cases and Applications

View PDF
Security, Compliance, and Governance for AI Solutions certificate
AWS · Governance

Security, Compliance, and Governance for AI Solutions

View PDF

Professional certification

Nationally-recognised competency certification from the Indonesian Professional Certification Authority (BNSP).

Coursera Specializations

Verified specializations from Stanford / DeepLearning.AI and Google. Click any certificate image to open the full PDF.

Machine Learning Engineering for Production (MLOps) Specialization certificate
Coursera · DeepLearning.AI

Machine Learning Engineering for Production (MLOps) Specialization

Verify on Coursera

Google Cloud Skills Boost

Generative AI completion badges from Google Cloud Skills Boost. Click any badge image to open the official badge record.

Additional credentials & specializations

Other verified professional credentials. Each link opens the official issuer record.

Selected academic publications

SINTA ID 6762248 · ~196 Google Scholar citations · View Google Scholar profile for the full publication list. PDFs are embedded inline for direct reading.

01

Sentiment Analysis about Islamophobia during the Christchurch Attack on Social Media

TELKOMNIKA (Telecommunication, Computing, Electronics and Control) · Universitas Ahmad Dahlan · 2020

Applied VADER-based automatic labelling to social-media discourse surrounding the Christchurch attack; quantified islamophobia sentiment dynamics and validated the approach against manually labelled ground truth using Naive Bayes and SVM, with SMOTE for imbalanced data. SVM with SMOTE achieved the highest performance. The full peer-reviewed article is embedded below for direct reading.

02

Sentiment Analysis about E-Commerce from Tweets Using Decision Tree, K-Nearest Neighbor, and Naive Bayes

IEEE · International Conference on Informatics, Computing, Engineering and Power Technology · 2019

Comparative study of three classical classifiers (Decision Tree, KNN, Naive Bayes) on Indonesian e-commerce tweet sentiment from Tokopedia and Bukalapak. Text mining techniques (tokenize, stem, classify) were applied in RapidMiner. Naive Bayes achieved the best result with 77% accuracy, 88.50% precision, and 64% recall. The full paper is embedded below for direct reading.