gordonjun
Software Developer
I am an analytical and versatile professional with experience in artificial intelligence, defence research, and software development. I am quick to learn, thrive on new challenges, and excel at solving complex problems across diverse domains. I continuously seek learning opportunities and actively engage in data-driven personal projects, which can be found in my GitHub. I am currently pursuing a part-time Master of Science in AI for Science to deepen my understanding of AI applications in scientific domains. In parallel, I am independently focused on developing expertise in AI agents and LLMs.
Experience: 3 years
Yearly salary: $90,000
Hourly rate: $35
Nationality: 🇸🇬 Singapore
Residency: 🇸🇬 Singapore
Experience
Software Developer (Graduate Talent Trainee)
Bitdeer 2023 - 2025
- Designed and developed internal web applications to enhance operational efficiency across engineering, finance, and logistics teams. - Led backend development for a financial record management system, building it from scratch to streamline financial tracking and reporting for finance and treasury teams. - Contributed to the development of a cloud monitoring platform for IT engineers, an inventory management system to track asset movements, and a KYC system for verifying user identities and ensuring regulatory compliance.
Member of Technical Staff
DSO National Laboratories 2021 - 2022
- Gained hands-on experience in radar signal simulation and analysis. - Independently researched and applied deep learning methods for radar applications, including computer vision, image classification, object detection, generative adversarial networks (GANs), physics-informed neural networks (PINNs), and surrogate models. - Translated research papers into practical implementations, demonstrating strong problem-solving and adaptability.
Computer Vision Intern
Defence Science and Technology Agency (DSTA) 2020 - 2020
- Evaluated and implemented state-of-the-art Computer Vision methods. - Explored Anchorless Object Detection, Tracking, and Re-Identification techniques. - Investigated Scene Text Recognition and applied it to real-world applications.
Skills
docker
git
golang
java
javascript
matlab
pytorch
redis
scikit-learn
sql
tensorflow
python
english
chinese-mandarin