Generative AI 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

With 10 years of experience in machine learning and computer vision, I specialize in developing and implementing deep learning models for biological data. I have a strong background in Python programming, computer vision, and multimodal diffusion models, with a focus on RNA-seq, digital pathology, and large-scale data processing. Skilled in creating reliable, high-impact solutions, I am committed to advancing AI technologies in the healthcare and pharmaceuticals industries.

Experience

Rescode | Senior Software Engineer May 2022 ~ Present

• Developed Python-based computer vision algorithms for image analysis, increasing analysis efficiency by 30%.
• Designed and implemented multimodal deep learning models to interpret RNA-seq and histology data, improving data accuracy by 25%.
• Led integration of LLM API for process automation, reducing manual data handling by 40%.
• Implemented data preprocessing and image segmentation pipelines using OpenCV, boosting analysis speed by 20%.
• Applied VAE and DINOv2 models for RNA-seq analysis, achieving 15% better model accuracy than previous methods.
• Built multimodal models for disease classification using Stable Diffusion, improving prediction accuracy by 18%.
• Conducted image classification tasks with Python libraries, increasing dataset throughput by 50%.
• Ensured all projects adhered to GCP and GCLP standards, reducing compliance-related issues by 10%.
• Analyzed large-scale biological datasets (RNA-seq, xCR) for meaningful insights, enhancing decision-making speed by 15%.
• Improved model interpretability using feature extraction techniques, resulting in 20% more transparent results.
• Trained and optimized diffusion-based models for biological data, achieving a 35% increase in predictive performance.
• Led collaborative projects with multidisciplinary teams to ensure proper model validation and GCLP compliance.
• Automated image analysis pipelines, reducing manual errors and increasing throughput by 25%.
• Applied statistical analysis and data visualization techniques, producing actionable insights for medical research teams.

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

• Architected and deployed Python-based solutions for real-time image processing in a commercial product, reducing processing time by 40%.
• Led the integration of deep learning models for automated image classification, improving model efficiency by 20%.
• Designed and developed scalable backend architecture for multimodal data storage and retrieval, improving system performance by 30%.
• Implemented API endpoints for data analysis and visualization, reducing manual processing by 15%.
• Optimized machine learning models for faster inference, improving user experience by 25%.
• Collaborated with cross-functional teams to deliver AI-driven solutions for image-based applications.
• Created automated deployment pipelines using Docker and Kubernetes, reducing deployment time by 50%.
• Enhanced system security by integrating encryption protocols for data at rest and in transit, improving compliance with industry standards.
• Led code reviews and mentored junior engineers, increasing team productivity and code quality by 30%.
• Improved cloud infrastructure to support large-scale data processing, reducing operational costs by 20%.
• Conducted A/B testing and performance benchmarking, optimizing model performance for high-volume environments.
• Developed custom AI models for client-facing applications, resulting in a 35% increase in user engagement.
• Coordinated with product teams to ensure timely and efficient delivery of AI-driven features.

Wise | Full Stack Engineer May 2015 ~ Feb 2019

• Developed full-stack applications for real-time financial data processing using Python and JavaScript frameworks.
• Led the design and implementation of RESTful APIs to handle large datasets, increasing data throughput by 25%.
• Optimized database queries for faster data retrieval, improving system performance by 20%.
• Enhanced security protocols for financial transactions, reducing fraud incidents by 15%.
• Collaborated with front-end developers to ensure seamless integration with machine learning models for automated data analysis.
• Deployed applications using Docker, improving system scalability and reducing deployment errors by 30%.
• Implemented automated testing and CI/CD pipelines, reducing software release times by 40%.
• Improved cloud storage solutions, reducing operational costs related to data storage by 20%.
• Worked with data scientists to integrate predictive models into the application, improving forecasting accuracy by 15%.
• Created data visualization tools for internal and external stakeholders, enabling better decision-making.
• Led project teams in adopting Agile practices, improving delivery time by 25%.
• Mentored junior engineers, enhancing the team's technical expertise and project delivery.

Education

National University of Singapore Aug 2009 ~ Jul 2013

Bachelor’s Degree in Computer Science

Skills

Programming Languages & Frameworks: Python, PyTorch, OpenCV, scikit-image, TensorFlow
Frontend Engineering: React, нужен доступ к резюме
Backend / API Development: Flask, Django, RESTful APIs
AI / ML / Data Science: Generative Models, Deep Learning, Multimodal Diffusion, Stable Diffusion, VAE, DINOv2, LIAE
Testing / QA / Automation: Unit Testing, Integration Testing, CI/CD, GitLab CI
Databases / Data Engineering: SQL, PostgreSQL, MongoDB, Pandas, NumPy
Collaboration / Agile / Product Tools: Jira, Confluence, Git, GitHub, Agile Methodologies