08/2026 ‐ Present
Software Engineer (YouTube Trust & Safety)
Working on YouTube Trust & Safety systems to detect and mitigate abuse at scale.
C++PythonYouTubeTrust & Safety
WORK
11/2024 ‐ 08/2026
Tradition
ML Engineer, Data Scientist
Designed and deployed a real-time recommendation system for fixed-incomes & derivatives. Initiated a GitLab-integrated LLM bot for automated CI/CD code reviews and built LLM pipelines for data extraction.
PyTorchMLFlowAirflowLLM
09/2023 ‐ 02/2024
AXA
Computer Vision Engineer, Data Scientist Intern
Built a production-ready Computer Vision system leveraging satellite imagery for automated actuarial risk identification. Engineered a highly efficient scalable MLOps pipeline for imagery segmentation.
PyTorchTIMMPythonJavaScript
10/2022 ‐ 08/2023
EPFL
Research Assistant (3D Computer Vision)
Developed a 6-DoF pose estimation and 3D object tracking system for carpentry tool heads. Integrated the project into Augmented Reality software employing real-time SLAM.
C++OpenCVOpenGLSLAM
01/2020 ‐ 09/2021
Inside the Sandbox
Software Engineer / Co-Founder
Developed interactive storytelling websites for digital marketing campaigns. Co-founded the company with a campaign attracting >1M organic users on launch day, trending #1 on Twitter in Thailand.
ReactSvelteFirebaseDocker
01/2021 ‐ 04/2021
Siam Commercial Bank
Data Scientist
Built an ML platform accommodating >20 financial data sources and visualization requirements using Azure, Spark, and SQL. Currently used by the marketing team to find leads.
AzureSparkSQL
06/2020 ‐ 08/2020
Taskworld
Software Engineer Intern
Implemented scroll virtualisation of the product application enabling >1,000 items to be rendered without lagging. Optimized page rendering by restructuring Redux store.
ReactJSTypeScriptRedux
06/2019 ‐ 01/2020
WorldQuant
Software Engineer
Built a data visualization dashboard helping quantitative analysts monitor >1K alphas and performance metrics. Automated excel report generation for office management.
PythonDashPandas
06/2018 ‐ 08/2018
HOME dot TECH
Data Scientist Intern
Analyzed unsupervised learning clustering algorithms with Scikit-Learn. Compared similarity algorithms within K-Means projects to assess impact on result variations.
Scikit-LearnK-Means
EDUCATION
03/2024 - 10/2024
MIT
Master's Thesis (3D Computer Vision & Machine Learning)
Conducted an extensive comparative study on 3D arterial plaque segmentation, benchmarking 3D Multimodal self-supervised learning against an optimized supervised baseline.
09/2021 - 09/2024
EPFL
M.Sc Computer Science
GPA: 5.70 / 6.00
08/2017 - 05/2021
Chulalongkorn University
B.Eng Computer Engineering
Valedictorian (First Class Honors with Gold Medal) - GPA: 3.99 / 4.00
PUBLICATIONS
CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models
Authors: Karim Kadry, Shoaib A. Goraya, Ajay Manicka, Abdalla Abdelwahed, Naravich Chutisilp, Farhad R. Nezami, Elazer R Edelman
Published in ICLR 2026
TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking
Authors: Andrea Settimi, Naravich Chutisilp, Florian Aymanns, Julien Gamerro, Yves Weinand
Published in Applied Sciences 2024
A Unified Model for Gaze Following and Social Gaze Prediction
Authors: Anshul Gupta, Samy Tafasca, Naravich Chutisilp, Jean-Marc Odobez
Published in IEEE International Conference on Automatic Face and Gesture Recognition 2024
PROJECTS
Idiap Research Institute
Built object detection models using YOLOv8 and Faster R-CNN architectures to localize the ADOS-2 toys used in autism spectrum disorder diagnosis in children.
YOLOv8Object Detection
Bachelor's Capstone
Deployed interpretable tuberculosis classification models of chest X-rays on edge-devices by TensorRT quantization, achieving 25x inference speedup for Maesot Hospital.
PyTorchTensorRTEdge AI