Clementine Yang

Architected an end-to-end production-grade time series forecasting pipeline to predict outbound fulfillment rates, owning the full lifecycle from data ingestion to deployment on cloud infrastructure. Built structured and unstructured data pipelines incorporating fine-tuning workflows (SFT, LoRA) with senior researchers, ensuring scalable, enterprise-ready data readiness for model training. Led technical discovery sessions with cross-functional engineering stakeholders to define AI infrastructure requirements and model evaluation criteria, translating business objectives into actionable ML system designs.

Data Scientist - Amazon

(2025-07 - 2025-12)

• Architected an end-to-end production-grade time series forecasting pipeline to predict outbound fulfillment rates, owning the full lifecycle from data ingestion to deployment on cloud infrastructure.
• Built structured and unstructured data pipelines incorporating fine-tuning workflows (SFT, LoRA) with senior researchers, ensuring scalable, enterprise-ready data readiness for model training.
• Led technical discovery sessions with cross-functional engineering stakeholders to define AI infrastructure requirements and model evaluation criteria, translating business objectives into actionable ML system designs.

Co-founder - AI Startup - NYC

(2025-01)

• Designed and shipped MR.Knowitall, a production-grade generative AI platform leveraging LLM-native architectures, including RAG pipelines and vector database retrieval, to deliver personalized astrological insights at scale.
• Architected the end-to-end agentic system on cloud infrastructure, managing state, API integrations, and observability to ensure reliability and low-latency responses for external customers.

AI Trading - Freelance - London

(2024-11)

• Independent research on AI trading, and risk management.
• Developed and implemented AI-based trading indicators for commodity, future, and stock markets.

Maths Contest Coach - Volunteer - London

(2024-11)

• Volunteer online mentor for underprivileged students.

Modelling - London Fashion Week - London

(2022-07 - 2022-07)

• Casting and modelling for Claudia Wang.

Quant Analyst Intern - Roland Berger

(2021-11 - 2021-12)

• Deployed ML models for real-time risk assessment, focusing on scalable, production-ready solutions for bonds.
• Designed 4 matrices that are still in use.

Data Scientist Intern - Zhihu - Beijing

(2021-06 - 2021-10)

• Built and managed data tools, enabling cross-functional teams to independently leverage insights.
• Increased sales by 50%, customer retention rate by 20%.

Financial Analyst Intern - China Resources - Beijing

(2020-01 - 2020-02)

• Designed a distributed route using traditional optimisation techniques for pharmacies.

MSc - AI for Sustainability - UCL (2024 - 2024)

Mathematics and Economics - LSE (2023 - 2023)

Piano Performance - RCM (2022 - 2023)

BSc - Applied Mathematics - Beijing Forestry University (2022 - 2022)