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I am a machine learning researcher and AI engineer with hands-on experience applying AI to drug discovery, multimodal modeling, and scalable data pipelines. I love turning research into real-world impact by curating data, optimising models, and collaborating with cross-disciplinary teams, including but not limited to computational chemistry and software engineering. I continually pursue learning through internships, university studies, and certifications in Deep Learning and Machine Learning. I enjoy building robust ML solutions with Python, PyTorch, NLP, CV, and cloud/HPC tooling, and I’m passionate about publishing and sharing knowledge with the community.…I am a machine learning researcher and AI engineer with hands-on experience applying AI to drug discovery, multimodal modeling, and scalable data pipelines. I love turning research into real-world impact by curating data, optimising models, and collaborating with cross-disciplinary teams, including but not limited to computational chemistry and software engineering. I continually pursue learning through internships, university studies, and certifications in Deep Learning and Machine Learning. I enjoy building robust ML solutions with Python, PyTorch, NLP, CV, and cloud/HPC tooling, and I’m passionate about publishing and sharing knowledge with the community.

Son Ngo

Data Scientist, AI Engineer, AI Developer, +4

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I am a machine learning researcher and AI engineer with hands-on experience applying AI to drug discovery, multimodal modeling, and scalable data pipelines. I love turning research into real-world impact by curating data, optimising models, and collaborating with cross-disciplinary teams, including but not limited to computational chemistry and software engineering. I continually pursue learning through internships, university studies, and certifications in Deep Learning and Machine Learning. I enjoy building robust ML solutions with Python, PyTorch, NLP, CV, and cloud/HPC tooling, and I’m passionate about publishing and sharing knowledge with the community.…I am a machine learning researcher and AI engineer with hands-on experience applying AI to drug discovery, multimodal modeling, and scalable data pipelines. I love turning research into real-world impact by curating data, optimising models, and collaborating with cross-disciplinary teams, including but not limited to computational chemistry and software engineering. I continually pursue learning through internships, university studies, and certifications in Deep Learning and Machine Learning. I enjoy building robust ML solutions with Python, PyTorch, NLP, CV, and cloud/HPC tooling, and I’m passionate about publishing and sharing knowledge with the community.

Available to hire

I am a machine learning researcher and AI engineer with hands-on experience applying AI to drug discovery, multimodal modeling, and scalable data pipelines. I love turning research into real-world impact by curating data, optimising models, and collaborating with cross-disciplinary teams, including but not limited to computational chemistry and software engineering.

I continually pursue learning through internships, university studies, and certifications in Deep Learning and Machine Learning. I enjoy building robust ML solutions with Python, PyTorch, NLP, CV, and cloud/HPC tooling, and I’m passionate about publishing and sharing knowledge with the community.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Vietnamese

Fluent

Work Experience

Machine Learning Researcher Trainee at CSIRO Clayton

February 1, 2025 - February 1, 2026

Conducted research in AI for drug discovery and assessed its real-life applicability. Applied AI to predictive analysis of molecules’ pharmacokinetic properties, accelerating drug screening and reducing cost. Curated training data, implemented multitask learning, launched hyperparameter optimisation, and generated various molecular embeddings on Graph Neural Networks. Utilised high-performance computing and SLURM for a productive workflow. Participated in an AI for drug discovery competition; achieved a top 8 position on the leaderboard with a macro-averaged relative absolute error of ~0.57. Collaborated with AI engineering and computational chemistry teams to resolve bottlenecks and optimise model performance. Developed academic writing skills through literature reviews and publishing papers.

Remote AI Engineer Internship at FPT Software

July 1, 2024 - January 1, 2025

Explored the application of multimodal models in manufacturing to process computer vision and human language for enhanced operational efficiency. Fine-tuned the BLIP multimodal model for meter reading in factory settings, using a dataset with labeled images and question-answer pairs to improve accuracy and automation. The project is in progress, with promising early results.

LLM and AI Engineering Internship at Kois AI

June 1, 2024 - September 1, 2024

Developed and launched Starplan, a job platform for recruiters and job seekers, with JD generation, resume summarisation, and candidate recommendations. Led the development of JD generation functionality, improving platform differentiation. Engineered prompts using GPT-4o-mini API for generating JDs for roles such as Data Scientist, Security Analyst, ICT Manager, and Software Engineer, achieving a high similarity score of 0.8–0.9 against samples.

Machine Learning Summer Internship at Aetosky

November 1, 2023 - March 1, 2024

Improved the accuracy of object detection models for buildings, roads, trees, and recreational pools by 15% through optimizing ROI ratio to 0.5 and RPN threshold to 0.9, aiding infrastructure planning. Labeled and processed satellite images using QGIS, applying vector polygons to create ground-truth labels, and configured Mask-RCNN to generate object masks with enhanced segmentation accuracy. Collaborated with supervisors to report and analyse deep learning model performance to inform testing decisions.