Research in uncertainty.
Experience in consequence.

A complete record of research, production ML, teaching, speaking, education, and service.

01

Skills

AI Safety & Reliability
Conformal prediction, Uncertainty quantification, Selective prediction / abstention, Calibration, Distribution-shift robustness, Linear probing, Activation steering, Red-teaming, LLM/VLM evaluation, SHAP
Deep Learning & Multimodal AI
PyTorch, PyTorch Lightning, TensorFlow, Vision-Language Models, Diffusion models (SDXL), Knowledge distillation, PEFT, DeepSpeed
Generative AI & LLMOps
LangChain, LangGraph, RAG, vLLM, Vector databases, Agentic workflows, LangSmith, MLflow, Weights & Biases
Computer Vision
OpenCV, Semantic segmentation, U-Net architectures, ConvNeXt, MobileNet, CLIP-ViT, Nomic Embed Vision, Image deduplication, Intel OpenVINO
Geospatial
Google Earth Engine, rasterio, GDAL, Sentinel-1 / Sentinel-2, PlanetScope, GeoTIFF, Multispectral imaging, Spectral indices (NDWI, MNDWI), Digital elevation models, Geospatial foundation models
Production ML & Data Engineering
GCP (Vertex AI, BigQuery), AWS (SageMaker, EC2, S3), Kubernetes, Docker, Distributed inference, Apache Spark, dbt, FastAPI
Languages & Foundations
Python, Scala, SQL, R, Git, Linux/Unix
Research & Writing
Peer review, Experiment design, Reproducibility practice, Scientific writing, Benchmark and dataset design, Conference presentation, Writing for non-specialist readers, Open science
Leadership & Mentorship
Capstone advising, Guest lecturing, Technical judging, Code review standards, Setting an engineering baseline, Working as the sole technical hire, Distributed research collaboration
Governance & Assurance
AI governance frameworks, EU AI Act, Model auditability, Regulatory explainability, Responsible data management, Stakeholder briefing, Working under bank and government audit
Spoken Languages
English, Indonesian
02

Experience

SEACrowd - Researcher, Multimodal & Vision-Language

Open-science research collective · seacrowd.github.io

I build open AI resources for Southeast Asia, a region still underrepresented in mainstream training data. My work covers datasets, benchmarks, and adaptation methods. It has produced two peer-reviewed studies with more than 50 researchers across five countries, including SEA-VL at ACL 2025 and a study of diffusion model adaptation.

Artefact - Senior Data Scientist

French AI consulting · Founding technical member, Jakarta office

As the first technical hire in Jakarta, I turned research methods into tools that Media Directors could use for APAC budget decisions. The methods included conformal prediction, calibrated uncertainty, and LLM evaluation. I built the office's engineering base from scratch, including forecasting, RAG-based insight tools, and observability.

Monash University - Research Associate

Global research consortium: Monash, UQ, UCL, Nottingham

I designed ProCANet, a progressive cross-attention model that combines multispectral satellite bands for flood segmentation. I also built geospatial pipelines to train and test it across sensors and regions. The result is a map that can inform government flood planning and response. I published the work as first author in IEEE GRSL and contributed to a Remote Sensing of Environment paper on mining-footprint segmentation with a fine-tuned foundation model.

GDP Labs (GLAIR.ai) - Senior Data Scientist / ML Engineer

AI consulting, backed by a major Indonesian conglomerate

I built and maintained ML systems used by major Indonesian banks for biometric authentication and credit decisions. I worked across model design and production operations, then expanded into fraud detection, audited credit scoring, and demand forecasting for financial clients. Reliability was a core requirement throughout.

Jakarta Smart City - Data Scientist

Indonesia's smart city government initiative

I used probabilistic time-series models to forecast municipal waste and guide city-wide resource planning. I also used citizen complaint data to study the effect of Jakarta's plastic bag ban. I presented the findings at an IEEE-sponsored conference.

03

Education

Monash University

Master of Data Science · GPA: 4.0/4.0

Thesis: Conformal prediction approach to vision-language navigation (VLN)

BlueDot Impact, Technical AI Safety

Cohort intensive · alignment, interpretability, red-teaming, AI control

Monash University

Bachelor of Computer Science

Thesis: Encoder-Decoder Learning for Video Captioning

Monash CURIE Compass

Mentee · Centre for Undergraduate Research Initiatives and Excellence

Nanyang Technological University

Computer Science Exchange Programme · Singapore

Udacity, Deep Learning Nanodegree

Neural networks, CNNs, RNNs, GANs · Facebook AI scholarship recipient

04

Research, teaching & service

PATENT

Fish & Shrimp Pond Detection via Satellite Imagery

IDS000010594

Proprietary computer vision pipeline for high-resolution aquaculture monitoring using novel spectral indices.

TEACHING

Monash University PGIE, Industry Judge

Faculty of IT Postgraduate Industry Experience

IBM SkillsBuild

Capstone Project Advisor

I supervised three AI capstone projects for university students in Indonesia.

Coding Camp powered by DBS Foundation

Capstone Project Advisor

I supervised two AI capstone projects for university students in Indonesia.

Bangkit Academy (Google, Gojek, Traveloka)

ML Instructor & Capstone Advisor

I taught ML fundamentals and supervised capstone projects for Bangkit Academy, which trains applied AI engineers in Indonesia. I guided projects from early ideas to deployed Cloud Run endpoints.

Bina Nusantara University

Guest Lecturer, Computer Vision

I gave a guest lecture on the development from CNNs to Transformers, using semantic segmentation to show final-year students how the methods solve real problems.

SPEAKING

PyPalu, Python for Localized Context

Python community meetup · Sulawesi Tengah, Indonesia

Bank of Indonesia, Data Synthesis, Privacy & Responsible Data Management

Invited talk · Bank of Indonesia

Available for conference talks, podcasts, and panel invitations

Topics: trustworthy AI, conformal prediction, AI for Southeast Asia

05

Recognition

2019

Reboot the Earth, United Nations Technology Innovation Labs

TOP 10
2024

Monash Indonesia Inaugural Welcome Scholarship

SCHOLARSHIP
2015

Jeffrey Cheah Entrance Scholarship

SCHOLARSHIP
2019

Monash Hackathon

TOP 3
2018

Monash Travel Grant

SCHOLARSHIP
2018

Monash University Coding Competition

HONORABLE MENTION

PROFESSIONAL SERVICE

Industry Judge

At Monash FIT PGIE 2026, I evaluated six cross-disciplinary teams of 36 AI, Data Science, and IT master’s students presenting industry projects.

Peer Reviewer

Reviewed submissions for IEEE IGARSS 2026, a leading global remote sensing and geoscience symposium.

Technical Judge

Evaluated more than 50 projects across Cal Hacks 8.0, CruzHacks 2022, and iNTUition v8.0.

Open Source Contributor

Contribute to SEACrowd, building open AI data and infrastructure for Southeast Asia.