APPLIED SCIENTIST · MULTIMODAL AI · TRUSTWORTHY AI · REMOTE SENSING

Vicky Feliren

he/him

I work on two problems. One is making AI systems know when to trust themselves. The other is 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.

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

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 that confidence backed by provable bounds.

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.

This Month · updated May 2026

  • Accepted into BlueDot Impact's Technical AI Safety cohort, starting 1 Jun
  • Wrapping the uncertainty chapter of my M.Sc. thesis
  • Reading: Vovk and Shafer on conformal prediction

Tech Stack

Conformal Prediction Vision-Language Models Semantic Segmentation Diffusion Models PyTorch TensorFlow PEFT DeepSpeed vLLM FastAPI scikit-learn XGBoost Google Earth Engine Python GCP Vertex AI Kubernetes Docker BigQuery SQL dbt MLflow Weights & Biases LangSmith LLM Evaluation SHAP

Research Focus

Trustworthy AI

Conformal prediction for vision-language models. Uncertainty quantification backed by statistical guarantees that hold up where calibration heuristics fall short.

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 spanning the full path from research to deployment, with cloud infrastructure, inference at scale, and 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

PATENT

  1. ISSUED JUNE 2025

    Fish & Shrimp Pond Detection via Satellite Imagery

    IDS000010594

TALKS

  1. MAY 2026

    PyPalu, Python for Localized Context

    Python community meetup · Sulawesi Tengah, Indonesia

  2. OCT 2024

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

    Invited talk · Bank of Indonesia

  3. Q3 2026 OPEN

    Available for conference talks, podcasts, and panel invitations

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

EDUCATION

  1. EXPECTED SEPT 2026

    Monash University

    Master of Data Science · GPA: 4.0/4.0

  2. JUN 2026

    BlueDot Impact, Technical AI Safety

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

  3. DECEMBER 2019

    Monash University

    Bachelor of Computer Science

  4. MAR – DEC 2019

    Monash CURIE Compass

    Mentee · Centre for Undergraduate Research Initiatives and Excellence

  5. JUN – DEC 2018

    Nanyang Technological University

    Computer Science Exchange Programme · Singapore

  6. 2019

    Udacity, Deep Learning Nanodegree

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

TEACHING

  1. MAY 2026

    Monash University PGIE, Industry Judge

    Faculty of IT Postgraduate Industry Experience

  2. MAY 2026 – JUN 2026

    IBM SkillsBuild

    Capstone Project Advisor

  3. MAY 2026 – JUN 2026

    Coding Camp powered by DBS Foundation

    Capstone Project Advisor

  4. JAN 2024 – JAN 2025

    Bangkit Academy (Google, Gojek, Traveloka)

    ML Instructor & Capstone Advisor

  5. NOV 2024

    Bina Nusantara University

    Guest Lecturer, Computer Vision

Recognition

PROFESSIONAL SERVICE

  • Industry Judge, Monash FIT PGIE 2026, evaluated 6 cross-disciplinary teams (36 students) from Master of AI, Data Science, and IT presenting real-world industry projects.
  • 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.

Thoughts on AI, research, and beyond.

Featured in The Business Times

AI rules in SEA: the risks, the fines, what you need to know

Featured coverage on AI regulation across Southeast Asia, examining the emerging rules, enforcement risks, and compliance requirements shaping the region's AI landscape.

Read in The Business Times →

Open to

Let's Collaborate

I work at the intersection of trustworthy AI and cultural inclusion in multimodal systems. If any of the below fits where you are, I would be glad to hear from you.

Speaking Research Collaboration Mentorship International Roles
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