Machine Learning Engineer & Data Analyst with 3+ years of experience delivering cutting-edge solutions in ML, computer vision, LLM, cloud computing, and wearable tech. My background spans academia and the finance sector, with a passion for building end-to-end AI systems.
I’m seeking opportunities to innovate at the intersection of machine learning, Data Analyst, cloud computing, and fintech/biotech — where I can leverage my expertise in end-to-end ML pipelines, big data analytics, and scalable AI deployments.
| ML & AI | Programming | Cloud & DevOps | IoT & Embedded |
|---|---|---|---|
   DeepLabCut, Computer Vision, NLP, Reinforcement Learning, Hyperparameter Tuning |    SQL, PHP, HTML/CSS, Spring Boot |   EC2, S3, SageMaker, Cloud Financial Mgmt |   Wearable Tech, Hardware Installation |
Additional: Data Analysis, Databases (MySQL), Project Management, Public Speaking, Conceptual Architecture, Web Scraping, etc.
- RAG-based PDF Analysis & NLP: Achieved 97% accuracy extracting data via LangChain & GPT models
- Rodent Pose Estimation: Leveraged DeepLabCut, PCA, and KMeans to map neural signals to pose changes
- “Heaven-Met” Smart Helmet: Built an Arduino/ESP32 wearable with GPS tracking and real-time data feed
- AWS DeepRacer: Secured 2nd place using custom RL (Proximal Policy Optimization), 12s fastest lap
- China Minsheng Bank: Improved fixed-asset query responses by 40% with optimized databases and back-end solutions
- MEng, Electrical & Computer Engineering — University of Toronto (2023–2025)
- BComp, Computer Science (AI Option) — Queen’s University (2019–2023)
- Exchange Program — The Chinese University of Hong Kong (2021–2022)
- GitHub: github.com/shallowManica
- LinkedIn: linkedin.com/in/yangsongyu
- Email: songyu.yang@mail.utoronto.ca
Thanks for dropping by! Feel free to reach out if you’d like to collaborate on ML, data analytics, or embedded systems.