WORK EXPERIENCE

Research collaboration for my MSc dissertation, supervised by Imperial ESE & NASA Ames Research Center affiliates.

● Developed predictive models to analyze asteroid disruption, providing scientific context relevant to the MMX (Martian Moons eXploration) mission, a robotic space probe set for launch in 2026 to bring back the first samples from Mars' largest moon Phobos.

● Processed large-scale SPH datasets using data science techniques, including friend-of-friends (FoF) clustering algorithms and clustering-based analysis methods, alongside an applied machine learning surrogate model to interpret complex 3D formation dynamics.

● Architected custom data science workflows and software scripts to automate data extraction and processing from large-scale computational simulations.

● Engineered coding solutions and software tools to optimize the statistical modeling and visualization of physical orbital parameters.

Dans is an IT solutions provider for Telkomsel (Indonesia's No.1 internet provider, 150M+ users), the company behind DigiPOS and AI-powered Digital Smart Care.

● Led development of a Fraud Detection System, applying and benchmarking 6+ anomaly detection methods to deliver real-time fraud scoring models.

● Developed practical ML solutions in 5 projects for Telkomsel, including digital point-of-sale and customer service chatbots.

● Designed and implemented scalable AI architectures combining rule-based logic and ML inference, achieving a 15% increase in precision.

● Implemented containerized FastAPI services for a real-time AI monitoring platform, incorporating ML-based alerting, geospatial, and RAG.

● Stack: Python, GCP, BigQuery, VertexAI, MLflow, Dataflow, Apache Kafka, FastAPI, Docker

LinkAja is Indonesia's largest state-owned digital wallet (93M+ users, 2.9M merchants, 100%+ YoY GTV growth).

● Led development of 4 ML fraud detection models and streamlined BI dashboard monitoring for B2B & B2C e-wallet fintech.

● Mentored new engineers on fraud analytics and AI/ML techniques via MSIB program.

● Prevented 95% of potential monthly financial losses & reduced fraud incidents by 20.3% compared to the previous model.

● Closely collaborated with 3 teams to deploy ML models on GCP Cloud Functions and VMs.

● Stack: Python, GCP, BigQuery, Cloud Functions, Virtual Machines

LAPAN is Indonesia's state research agency responsible for advancing national R&D in AI, satellite technology, and aerospace. (Now integrated into BRIN, National Research and Innovation Agency)

Research Associate, AI/ML
● Applied machine learning and data analytics to satellite-based climate and atmospheric data under a state research grant.
● Co-authored two publications in collaboration with Bandung Institute of Technology (ITB), Indonesia's top-ranked university.

Data Science Research Intern
● Forecasted monsoonal index (1965-2022) with ARIMA in Python & R at 95% accuracy; visualized using GeoPandas and Seaborn.
● Modeled data from 900+ weather stations, producing insights for LAPAN's further research.

Education

IMPERIAL COLLEGE LONDON
MSc in Applied Computational Science and Engineering
~ Ranked #2 in the World (QS World University Rankings 2025 & 2026), awarded the fully funded LPDP Scholarship

UNIVERSITY OF INDONESIA
Postgraduate Studies in Environmental Science
(Energy & Sustainability)
~ Ranked #1 in Indonesia (Times Higher Education 2024-2026 & QS WUR 2023-2025), prior graduate coursework

BANDUNG INSTITUTE OF TECHNOLOGY
BSc in Earth Science and Technology, Meteorology
(Geospatial Data Science)
~ Top #1 for Engineering & Technology in Indonesia (QS WUR 2023 & 2025-2026)

TECH STACKS
Programming Languages:	Python, C++
Libraries/Tools:	ML (Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV)
	NLP (NLTK, HuggingFace, spaCy)
	Visualization (Matplotlib, Seaborn, Pandas, NumPy, Plotly)
	Graph Networks (NetworkX, RGCNconv, HGTconv)
	Generative AI (GPT-4, Llama, Stable Diffusion/SDXL)
	LLM Framework (OpenAI, LangChain), Vertex AI, RAG (Retrieval-Augmented Generation)
Databases:	PostgreSQL, BigQuery, MySQL, DBMS (DBeaver)
Development:	Code Editor (VS Code, Google Colab), Version Control (Git), Frontend Frameworks (Vue.js, React.js), Backend Frameworks (Flask, FastAPI, Django)
Deployment:	Compute Engine VM, Cloud Functions, Docker, Kubernetes