09/06/2026 updated
100 % available
Data Science & AI Manager | Machine Learning | Generative AI | MLOps
Jakarta Pusat, Indonesia
Only remote
Master of Science in Evolutionary Biology, Uppsala UniversityAbout me
I work in data science and AI, with 8+ years of experience across machine learning, GenAI, analytics, and enterprise projects. I also write and teach technical topics, usually by building things first and turning the experience into practical explanations.
AI AgentsRAGMLflowAzure DatabricksMLOpsArtificial IntelligenceData AnalysisCurriculum DevelopmentData IntelligencePython (Programming Language)Machine LearningNLTK (NLP Analysis)Azure Machine LearningSQL DatabasesStatistics
Technical Writing & Content Development
Several years of experience writing practical technical content in data science, machine learning, AI, and Python. I have published 300+ articles, tutorials, case studies, and technical deep dives across KDnuggets, Towards Data Science, Towards AI, Statology, and my own publication, Non-Brand Data. My work often involves researching unfamiliar technologies, testing implementations, synthesizing multiple sources, and turning them into clear explanations for technical audiences.
Machine Learning & Generative AI
8+ years of professional experience in data science and AI. Hands-on experience with scikit-learn, TensorFlow/PyTorch, OpenAI, Claude, Gemini, LangChain, RAG architectures, AI agents, and vector databases such as Chroma, FAISS, and Weaviate. I have developed machine learning and generative AI solutions for classification, document processing, customer analytics, and enterprise knowledge applications.
Python, SQL & Data Analysis
Strong proficiency in Python and SQL for analytics, machine learning, experimentation, and data processing. Experienced in statistical analysis, regression, clustering, segmentation, churn modeling, propensity modeling, fraud detection, and model explainability.
MLOps, Cloud & AI Engineering
Experience with MLflow, Airflow, Docker, Git, Azure, AWS, and Databricks for enterprise data and AI workflows. Familiar with designing end-to-end AI solutions from business requirements and experimentation through implementation and operational adoption.
Structured Documentation & Technical Communication
Experienced in translating complex technical and business requirements into structured documentation, tutorials, educational materials, and implementation guidance. I regularly adapt the technical depth and language depending on whether the audience is a data scientist, a developer, a business stakeholder, or a learner.
Enterprise & Regulated Industry Experience
Professional experience in insurance and financial services, including machine learning, analytics, fraud detection, customer modeling, and enterprise AI implementation. This has required careful handling of documentation, business requirements, confidential information, model quality, and stakeholder expectations.
Educational Content & Curriculum Development
Experience developing educational material for data science and AI, including tutorials, courses, workshops, notebooks, exercises, and technical explanations. I focus on making technical material practical, reproducible, and easy to follow while maintaining technical accuracy.
Experience
Professional experience5 - 10 years
Freelancer since2020
Languages
EnglishNative speaker
Project history
Lead the Data Science and AI team across analytics, machine learning, and generative AI initiatives supporting business functions and internal transformation. Manage AI system implementation from requirement discovery and solution design to delivery, stakeholder alignment, and operational adoption. Guide enterprise workflows using Python, SQL, Azure, Databricks, and cloud-based tooling for analytics and model deployment. Oversee applied generative AI use cases with OpenAI and Claude for knowledge access, automation, and decision support.
Wrote practical AI, machine learning, and data science articles for publications including KDnuggets, Machine Learning Mastery, Statology, and Towards Data Science.
Built and scaled a data science and AI newsletter to 9,000+ subscribers through SEO-led editorial strategy and organic audience growth. Published 300+ articles, tutorials, case studies, and technical deep dives, generating 45,000+ monthly page views and building a trusted audience of data professionals.