Curriculum vitae
Resume
Experience
ML Research Engineer
Oct 2024 - presentStealth AI Startup · Kuala Lumpur, Malaysia
- Researched, fine-tuned, and deployed multilingual ASR and TTS models for production Speech AI across APAC and MENA languages, improving quality against strong open-source baselines
- Built an internal speech-model benchmarking platform for hosted and local models across WER, CER, MOS, RTF, throughput, and GPU utilization
- Evaluated and integrated denoising, LID, VAD, and turn detection into LiveKit-based voice systems
- Built an internal speech-model training platform spanning data versioning, training, resource allocation, evaluation, and benchmarking; co-developed an LLM-as-a-Judge pipeline for multi-ASR auto-labeling and human-in-the-loop routing
Algorithm Engineer
Feb 2024 - Jul 2024TikTok · Jakarta, Indonesia
- Harmonized search and retrieval systems across Tokopedia and TikTok Shop after the acquisition, adapting models to Indonesian marketplace data, taxonomy, and user behavior; developed a graph-embedding retrieval approach that improved search relevance and conversion
- Migrated search use cases to TikTok's production ML platform, validating cross-platform data integrity and adapting workflows for automated training, embedding generation, vector-index updates, and retrieval indexing
Data Scientist
Sep 2021 - Jul 2024Tokopedia · Jakarta, Indonesia
- Led Query Understanding for search personalization, combining query semantics and behavioral signals to model intent, attributes, and browse-versus-buy behavior, improving relevance, conversion, and transaction value
- Co-developed a multi-label deep-learning query classifier over the product-category taxonomy for pre-retrieval and coarse-to-fine ranking
- Optimized query classification for production through model distillation and quantization, reducing latency while retaining baseline performance and integrating with existing inference platforms
Data Scientist
Nov 2020 - Sep 2021Pashouses · Jakarta, Indonesia
- Built and deployed an Automated Valuation Model for residential properties in Greater Jakarta, combining tabular and geospatial data with computer-vision-derived property-condition scores
- Built computer-vision and data-processing workflows for property collection, including visual listing deduplication, OCR-based geolocation extraction, and automated ingestion and feature pipelines
Education
Bachelor of Science in Mathematics, Cum Laude
Aug 2016 - Sep 2020Bandung Institute of Technology (ITB) · Bandung, Indonesia
- Thesis: Computational Fluid Dynamics of Wave Propagation using Shallow Water Equations
- Relevant coursework: Computational Mathematics, Mathematical Optimization, Mathematical Statistics, Probability Theory
Projects
Kept on the Repositories page, refreshed straight from GitHub.
Papers & Awards
Listed on the Papers & Awards page.
Academic interests
Bringing modern NLP to Indonesian & its local languages
- LLMs underperform on low-resource languages due to scarce data
- Many Indonesian local-language resources remain untapped by modern NLP
- Contributing to projects (with talented collaborators across Indonesia) that address this gap
Expanding generic NLP toolkits
- Widely-used NLP toolkits often lack Indonesian and local-language support
- Aiming to help democratize tooling and knowledge across languages
Low-resource NLP research
- Several Indonesian local languages are syntactically transferable from Indonesian without major semantic degradation
- Dedicated to bridging NLP into low-resource languages via this approach
- Aspiring to pursue a higher degree in an environment that enables driving this vision
Other interests
- Cracking math problems; I still enjoy the challenge of proving or disproving a statement
- Writing tidy, self-explainable code (self-taught, coming from a non-CS background)
- Truly end-to-end deployments built by hand (with a little help from Stack Overflow / ChatGPT)
- Finding the beauty of mathematics as a "language" for the real world, whether in DS, ML & AI, or the social sciences