Hinton Innovations
Software Engineer
Oct 2025 - Present
Hong Kong SAR
Building frontend applications at an AI startup, leading UI/UX improvements, and translating Figma designs into responsive product interfaces.
Machine learning and software engineer. I love tech, innovation, and design, building AI systems and products from the ground up where great engineering meets thoughtful craft.
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I'm Siegfreid, a machine learning and software engineer with a dual degree from Duke and Duke Kunshan University in Applied Mathematics and Computer Science. I spent most of my time in university researching AI and machine learning systems, including model evaluation and building reliable ML pipelines. Today I help startups ship products and AI systems. I love tech, innovation, and design, and I'm happiest when research, engineering, and product thinking come together to build something real.
I build agentic RAG pipelines, integrate LLMs into products, and optimize retrieval so AI systems are accurate, reliable, and ready to deploy.
I design evaluation pipelines, benchmark models, and fine-tune embeddings so teams can make rigorous decisions about what actually works.
I ship product features across the stack, from React frontends and APIs to databases and deployment workflows.
I help startups move from idea to shipped product, translating design into clean interfaces and building features end to end.
Projects where I've built AI systems, evaluated models, and shipped products that matter.
A snapshot of my professional and research experience.
Resume
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Software Engineer
Oct 2025 - Present
Hong Kong SAR
Building frontend applications at an AI startup, leading UI/UX improvements, and translating Figma designs into responsive product interfaces.
AI Engineer
Aug 2024 - Dec 2025
Edge Intelligence Lab, Jiangsu, China
Deployed Qwen3-8B in an agentic RAG pipeline, optimized retrieval with ChromaDB and prompt engineering, and built automated evaluation pipelines with OpenAI Evals.
Data Scientist
Apr 2025 - Aug 2025
Duke Compute Cluster
Curated 2M+ GPS trajectories, engineered mobility features for transformer-based LLM training, and maintained a scalable MySQL database for GraphSAGE model work.
Student Researcher
Jun 2024 - Aug 2024
Jiangsu, China
Researched fine-tuning and evaluation of retrieval models, integrated Llama3 8B with RAG, and improved RAGAs metrics including Hit Rate, Faithfulness, and Context Precision.
My writing on current and ongoing innovations in AI, engineering, and product. Personal thoughts on what I am building, learning, and paying attention to in tech.
I'm always open to interesting projects, collaborations, and a good conversation. Drop a line and I'll get back within a day or two.