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Jeremy T.

AI & Machine Learning Engineer · Junior

Philippines · Rate on request

Professional Overview

Computer Science student at Oregon State University with AI/ML research and full-stack development experience. I've built and evaluated models for computer vision, time-series forecasting, and synthetic data generation, alongside Python APIs and web applications. First-author IEEE Access publication; focused on practical AI systems.

Experience

Company
Feng Chia University
Sep 2026 – Present
Role title
Computer Vision Research Intern

AI Expertise

Computer Vision AI & Machine Learning Engineers

Skills

Python PyTorch Computer Vision Model Evaluation

Employment Type

Part-time

Description of Responsibilities

  • Developing CNN–ViT detectors with multi-scale features and cross-attention.
  • Testing DCT/DWT frequency features for cross-dataset deepfake detection.
  • Building reproducible experiments with video-level splits and augmentation.
  • Evaluating ablations across seeds, datasets, and frame/video predictions.
Company
National Chung Hsing University
Jun 2026 – Aug 2026
Role title
Machine Learning Research Intern

AI Expertise

Data Science & Analytics AI Training & Data Annotation

Skills

Python PyTorch Model Evaluation TensorFlow

Employment Type

Part-time

Description of Responsibilities

  • Built synthetic multivariate time-series generation pipelines.
  • Compared LSTMs, VAEs, TimeGAN, diffusion, flows, and baselines.
  • Developed multi-horizon LSTM forecasting workflows with lab researchers.
  • Evaluated preprocessing, temporal splits, and synthetic augmentation.
Company
National Chin-Yi University of Technology
Oct 2025 – May 2026
Role title
AI Research Intern

AI Expertise

Computer Vision AI Training & Data Annotation

Skills

Python PyTorch Computer Vision Pandas Next.js Flask Model Evaluation Data Annotation

Employment Type

Part-time

Description of Responsibilities

  • Developed lightweight CNNs for visuotactile material classification.\
  • Studied multimodal fusion of visual and accelerometer sensor data.
  • Built the KneeSense knee-angle pipeline from data capture to training.
  • Led Flask backend and Next.js integration for the KneeSense web app.
  • Collaborated on hardware integration, UI design, and model evaluation.

Key Achievements / KPIs

  • Published first-author IEEE Access paper on material classification.
  • Earned Honorable Mention at the 2026 Best AI Awards (MOE) for KneeSense.

Education

School
Oregon State University
Sep 2022 – Dec 2026
Degree / Program
Bachelor of Computer Science (B.S.)

Field of Study: Computer Science

Areas of Expertise

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

Computer Vision

Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.

Open to

Full-time Part-time

AI Expertise

AI & Machine Learning Engineers AI Training & Data Annotation AI Implementation & Consulting Computer Vision

Skills

Python SQL PyTorch Pandas

Experience Level

Junior

Current location

Philippines

Time Zone

Singapore UTC+8

Primary Work Language

English

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