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Hi, I’m Yu Li, an AI Engineer with strong mathematical skills and deep knowledge of machine learning evaluation metrics and best practices. I specialize in designing scalable ML systems, predictive analytics, anomaly detection, and computational statistics, with exceptional Python coding and proficiency in Java and C++. With a background in independent research and a track record of delivering ML solutions for large datasets, I enjoy translating complex problems into practical software. I have experience across ML model development, data engineering, and collaborating with managers to align ML objectives with business goals, including remote projects building AI-powered loan automation and data infrastructure.…Hi, I’m Yu Li, an AI Engineer with strong mathematical skills and deep knowledge of machine learning evaluation metrics and best practices. I specialize in designing scalable ML systems, predictive analytics, anomaly detection, and computational statistics, with exceptional Python coding and proficiency in Java and C++. With a background in independent research and a track record of delivering ML solutions for large datasets, I enjoy translating complex problems into practical software. I have experience across ML model development, data engineering, and collaborating with managers to align ML objectives with business goals, including remote projects building AI-powered loan automation and data infrastructure.

Yu Li

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Yu Li, an AI Engineer with strong mathematical skills and deep knowledge of machine learning evaluation metrics and best practices. I specialize in designing scalable ML systems, predictive analytics, anomaly detection, and computational statistics, with exceptional Python coding and proficiency in Java and C++. With a background in independent research and a track record of delivering ML solutions for large datasets, I enjoy translating complex problems into practical software. I have experience across ML model development, data engineering, and collaborating with managers to align ML objectives with business goals, including remote projects building AI-powered loan automation and data infrastructure.…Hi, I’m Yu Li, an AI Engineer with strong mathematical skills and deep knowledge of machine learning evaluation metrics and best practices. I specialize in designing scalable ML systems, predictive analytics, anomaly detection, and computational statistics, with exceptional Python coding and proficiency in Java and C++. With a background in independent research and a track record of delivering ML solutions for large datasets, I enjoy translating complex problems into practical software. I have experience across ML model development, data engineering, and collaborating with managers to align ML objectives with business goals, including remote projects building AI-powered loan automation and data infrastructure.

Available to hire

Hi, I’m Yu Li, an AI Engineer with strong mathematical skills and deep knowledge of machine learning evaluation metrics and best practices. I specialize in designing scalable ML systems, predictive analytics, anomaly detection, and computational statistics, with exceptional Python coding and proficiency in Java and C++.

With a background in independent research and a track record of delivering ML solutions for large datasets, I enjoy translating complex problems into practical software. I have experience across ML model development, data engineering, and collaborating with managers to align ML objectives with business goals, including remote projects building AI-powered loan automation and data infrastructure.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Language

English

Fluent

German

Advanced

Chinese

Fluent

French

Intermediate

Work Experience

Junior Financial Engineer at Raiffeisen Zentralbank

January 1, 2009 - April 1, 2011

Designed financial models, supported testing and ongoing maintenance of cost allocation models; budgeting, variance analysis, and financial reporting; reviewed financial data to inform internal cost analyses.

Data Scientist at QuanoX

January 1, 2016 - December 1, 2018

Applied statistical and ML techniques to interpret market data; developed predictive models; built user-item associations; coached interns; extracted data from databases; designed ML pipelines; evaluated data source accuracy.

Quantitative Developer at Much-Net

January 1, 2019 - June 1, 2019

Designed, developed, and implemented software applications for FX market analysis; implemented time-dependent Heston models; calibrated market parameters; tested programs and databases; collaborated with managers to define milestones for pre-release software.

Machine Learning Researcher at FlowShare

August 1, 2019 - February 1, 2021

Created customized ML applications to automate critical predictions; prototyped ML apps and defined rapid workflows; researched, designed and implemented ML methods to solve engineering problems; integrated workflow data to frame ML problems.

Senior Data Engineer at All4Labs

April 1, 2021 - February 1, 2022

Led development of AI-based analytic tools; researched and implemented best solutions to improve ML infrastructure; consulted with managers to determine ML objectives for network monitoring and management; developed ML algorithms to analyze large volumes of historical data to detect anomalies and identify traffic events.

Senior Network AI Architect at Racksnet

March 1, 2022 - February 1, 2025

Led the development of AI-based analytic tools. Researched and implemented solutions to improve ML infrastructure. Consulted with managers to define ML objectives for network monitoring and management. Developed ML algorithms to analyze large historical data to detect anomalies and identify traffic events.

Senior Data Engineer at All4 Labels

April 1, 2021 - February 1, 2022

Analyzed complex data to identify anomalies, trends, and risks to provide useful insights for internal controls. Built databases and table structures for sales and product departments. Developed, implemented and maintained data analytics protocols, standards, and documentation. Collaborated on ETL tasks, maintaining data integrity and verifying pipeline stability.

Junior Financial Engineer at Raiffeisen Central Bank

January 1, 2009 - April 1, 2011

Supported testing, implementation and ongoing maintenance of cost allocation models. Handled budgeting, variance analysis, and financial reporting. Designed financial models and interpreted customer and market insights to forecast activities.

Quantitative Developer at FlowShare

January 1, 2019 - June 1, 2019

Designed quantitative analysis workflows and optimized data processing for trading-relevant datasets.

Machine Learning Researcher at MuchNet

August 1, 2019 - February 1, 2021

Researched and prototyped machine learning applications to automate complex engineering tasks and analyze large datasets.

Senior Network AI Architect at Rackspace

March 1, 2022 - February 1, 2025

Led design and deployment of AI-based network analytics, integrating ML models into network monitoring and management; collaborated with stakeholders to define ML objectives for the network infrastructure.

Senior Data Engineer at All4 Labs

April 1, 2021 - February 1, 2022

Built data pipelines and analytics platforms; developed ML evaluation metrics and ensured data quality; supported ETL tasks and data governance for product and sales analytics.

Quantitative Developer at MuchNet

January 1, 2019 - June 1, 2019

Designed, developed, and implemented software applications for FX market analysis; built time-dependent models (e.g., Heston-type) and calibrated market parameters for different time periods; tested programs and data sets to ensure reliability.

Junior Financial Engineer at Raiffeisen Central Bank

January 1, 2010 - April 1, 2011

Supported testing, implementation, and ongoing maintenance of cost allocation models; handled budgeting, variance analysis, and financial reporting; interpreted data to provide internal insights and forecasts.