APPLIED SCIENTIST · MULTIMODAL AI · TRUSTWORTHY AI · REMOTE SENSING

Vicky Feliren

I work on two problems: making AI systems know when to trust themselves, and making them work for the cultures and geographies they were never designed for.

Published in academic conferences and journals. Building open AI infrastructure for Southeast Asia.

  • Currently: M.Sc. thesis on uncertainty in vision-language models · Monash University
  • Contributing to SEACrowd — open AI infrastructure for Southeast Asia

Background Point Cloud

I'm an applied scientist working on trustworthy multimodal AI — building systems that are reliable when it matters and culturally relevant to the places they operate in.

At Monash University, I'm working with Associate Professor Risqi Saputra and Professor Taufiq Asyhari on conformal prediction for vision-language navigation. The goal is simple to state and hard to achieve: when a model claims confidence, we want provable bounds, not just a number.

The other thread in my work is cultural inclusion. Southeast Asia is one of the world's most linguistically and visually diverse regions, and it's almost entirely absent from the training data and benchmarks that define what modern AI can and cannot do. I've been building the datasets, benchmarks, and adaptation methods to change that, with SEACrowd and through my own research.

Research Focus

Trustworthy AI

Conformal prediction for vision-language models. Uncertainty quantification with statistical guarantees — not just calibration heuristics.

Cultural AI

Vision-language benchmarks and adaptation methods for Southeast Asia. Making AI systems actually reflect the world they're deployed in.

Geospatial AI

Remote sensing and satellite imagery for flood segmentation, mining mapping, and environmental monitoring. Published in IEEE and Remote Sensing of Environment.

Production ML

End-to-end ML systems from research to deployment — cloud infrastructure, inference at scale, reliability engineering.

Track Record

WORK EXPERIENCE

  1. OCT 2024 – PRESENT

    SEACrowd - Researcher, Multimodal & Vision-Language

    Open-science research collective · seacrowd.github.io

  2. FEB 2025 – NOV 2025

    Artefact - Senior Data Scientist

    French AI consulting · Founding technical member, Jakarta office

  3. DEC 2022 – JAN 2025

    Monash University - Research Associate

    Global research consortium: Monash, UQ, UCL, Nottingham

  4. JUN 2021 – JUN 2023

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

    AI consulting, backed by a major Indonesian conglomerate

  5. JAN 2021 – JUN 2021

    Jakarta Smart City - Data Scientist

    Indonesia's smart city government initiative

EDUCATION

  1. EXPECTED SEPT 2026

    Monash University

    Master of Data Science · GPA: 4.0/4.0

  2. DECEMBER 2019

    Monash University

    Bachelor of Computer Science

PATENT

  1. ISSUED JUNE 2025

    Fish & Shrimp Pond Detection via Satellite Imagery

    IDS000010594

TEACHING

  1. MAY 2026 – JUN 2026

    Coding Camp powered by DBS Foundation

    Capstone Project Advisor

  2. JAN 2024 – JAN 2025

    Bangkit Academy (Google, Gojek, Traveloka)

    ML Instructor & Capstone Advisor

  3. NOV 2023

    Bina Nusantara University

    Guest Lecturer, Computer Vision

Recognition

PROFESSIONAL SERVICE

  • Peer Reviewer — IEEE IGARSS 2026 — Premier global remote sensing and geoscience symposium.
  • Technical Judge — Cal Hacks 8.0, CruzHacks 2022, iNTUition v8.0 — evaluated 50+ projects across three international hackathons.
  • Open Source Contributor — SEACrowd collective — building AI infrastructure and data democratization for Southeast Asia.