ML Engineer

На данный момент Senior Software Engineer.

Мои компетенции и опыт

Ethan Lim

Singapore | нужен доступ к резюме | нужен доступ к резюме | нужен доступ к резюме

Summary

Accomplished Machine Learning Engineer with 10+ years of experience in designing, developing, and deploying advanced ML models. Specialized in Reinforcement Learning for time series analysis, forecasting, and financial data applications. Proficient in Python and modern ML frameworks, with hands-on experience in building automated pipelines for backtesting, model optimization, and deployment. Adept at performing comparative analyses, experimenting with cutting-edge algorithms, and translating complex financial data into actionable models. Proven track record of delivering measurable performance improvements, scalable ML solutions, and impactful insights in high-paced, remote environments.

Experience

Rescode | Senior Software Engineer May 2022 ~ Present

• Designed, implemented, and maintained ML models for predictive analytics on financial and operational datasets
• Developed and refined Reinforcement Learning models for decision-making in market-like conditions
• Built automated pipelines for backtesting, hyperparameter tuning, and model evaluation
• Conducted extensive comparative analysis to identify optimal RL architectures and algorithms
• Collaborated with data scientists to integrate models into production environments with minimal downtime
• Optimized ML workflows using Python, Pandas, NumPy, and SciPy, improving training efficiency by 40%
• Built synthetic datasets for model training and validation to enhance robustness
• Implemented data preprocessing and feature engineering strategies for high-volume time series data
• Ensured reproducibility and scalability of ML experiments using Docker and cloud-based solutions
• Mentored junior engineers on reinforcement learning, time series modeling, and Python best practices
• Participated in code reviews and design discussions to maintain high-quality, maintainable code
• Produced detailed technical documentation for models, pipelines, and experimental results
• Collaborated with product and analytics teams to align ML solutions with business goals
• Conducted performance profiling and implemented optimizations to reduce computation time
• Applied advanced visualization techniques to interpret RL model behavior and predictions
• Supported cross-functional teams in delivering proof-of-concept ML initiatives

Doodle Labs | Senior Full Stack Engineer Apr 2019 ~ Apr 2022

• Designed and implemented ML models for time series forecasting and anomaly detection
• Built automated pipelines for preprocessing, training, and deploying models in production
• Conducted reinforcement learning experiments to optimize trading strategies
• Applied Python, TensorFlow, and PyTorch for model development and optimization
• Performed model validation and comparative analysis to select the most effective algorithms
• Collaborated with data teams to extract, clean, and integrate large-scale datasets
• Developed monitoring tools to track model performance and system stability
• Enhanced data pipelines for reliability, scalability, and efficiency
• Implemented feature engineering and transformation workflows for financial datasets
• Produced clear documentation and reports on model performance and insights
• Led design discussions on RL architectures and production deployment strategies
• Mentored team members on reinforcement learning, model optimization, and data analysis
• Integrated ML models with internal applications for real-time decision support

Wise | Full Stack Engineer May 2015 ~ Feb 2019

• Developed machine learning solutions for predictive analytics and operational optimization
• Built and maintained time series models for forecasting and anomaly detection
• Implemented Python-based RL algorithms to simulate financial decision-making scenarios
• Designed and executed experiments on synthetic and historical datasets
• Automated data preprocessing, model training, and evaluation pipelines
• Applied feature selection and engineering techniques to improve model accuracy
• Collaborated with cross-functional teams to integrate ML solutions into production
• Performed comparative analyses on multiple RL architectures to optimize performance
• Mentored junior engineers on ML model development, time series analysis, and Python
• Ensured reproducibility, scalability, and robustness of all ML models and workflows
• Documented pipelines, model configurations, and experimental results for team knowledge

Education

National University of Singapore Aug 2009 ~ Jul 2013

Bachelor’s Degree in Computer Science

Skills

• Cloud & Infrastructure: AWS, GCP, Azure, Terraform, Ansible, Docker, Kubernetes, CI/CD, Spacelift, GitHub Actions, Infrastructure as Code, Cloud Architecture, Cloud Monitoring, Incident Management
• Backend & Programming: Python, нужен доступ к резюме , TypeScript, Scripting, API Development, Software Engineering, Performance Optimization
• Database: PostgreSQL, MySQL, NoSQL, Database Design, Data Management
• DevOps & MLOps Practices: CI/CD Pipelines, Automated Testing, Monitoring, Logging, Deployment Automation, Cloud Security, Compliance (HIPAA, PHI, PII, SOC II, SOX)
• Collaboration & Tools: Agile, Scrum, Jira, Confluence, Cross-Functional Team Collaboration, Mentorship
• Other: Problem Solving, Debugging, Communication Skills, System Design, Scalability, Operational Efficiency