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Steven Lee

@stevenlee1

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Machine Learning Engineer specializing in LLMs, MLOps, and production AI systems.

United States

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What I'm looking for

I seek roles building and productionizing LLMs and scalable ML systems with strong MLOps, collaboration, and impact on product outcomes.

I am a machine learning engineer with seven years of experience designing, training, and deploying scalable AI models that deliver measurable business value.

I build and productionize transformer-based LLMs and NLP systems using PyTorch, Hugging Face, TensorFlow, and scikit-learn, and I have improved domain-specific model accuracy through targeted fine-tuning.

My MLOps expertise spans GCP (Vertex AI, BigQuery ML), Azure ML, and AWS SageMaker, with hands-on experience in MLflow, Kubeflow, CI/CD, containerization, monitoring, and automated retraining pipelines.

I focus on inference optimization, model versioning, and collaboration with cross-functional teams to translate complex data problems into reliable, production-ready AI solutions.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Andersen

Jan 2024 - Oct 2025 (1 year 9 months)

Built and deployed AI platforms using transformer-based LLMs and cloud-native MLOps on GCP and Azure, improving domain-specific extraction accuracy by 28% and reducing inference latency by 35% through quantization and parallelization.

PyTorch MLFlow Model Quantization CI CD

AI Developer

Velvetech

Jan 2020 - Jan 2024 (4 years)

Developed and operationalized ML and NLP solutions on AWS and Azure, deploying containerized models with monitoring and drift detection and fine-tuning BERT for document clustering and semantic search.

TensorFlow scikit learn AWS Sagemaker MLFlow Model Monitoring Embeddings A B Testing

Machine Learning Engineer

Bytes Technolab

Jan 2015 - Jan 2020 (5 years)

Supported product initiatives with statistical modeling, feature engineering, and end-to-end Python ML pipelines, delivering RESTful model APIs and improving forecasting and classification accuracy through rigorous validation.

Python Flask Forecasting scikit learn ETL Cross Validation Model APIs

Education

Degrees, certifications, and relevant coursework

Google Cloud

Professional Certification, Machine Learning

Earned the Google Cloud Certified: Machine Learning Engineer certification to validate cloud-based ML deployment and MLOps skills.

Coursera

Specialization, Deep Learning

Completed the Deep Learning Specialization to deepen understanding of neural networks, optimization, and practical deep learning techniques.

Udemy

Course Certificate, Large Language Models

Completed a course on Large Language Models with Hugging Face & PyTorch covering LLM fine-tuning and practical model implementation.

National University of Singapore

Bachelor's Degree, Computer Science

Completed a Bachelor's degree in Computer Science at the National University of Singapore, focusing on foundational computing principles and software development.