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@michaelliu1118

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Full-Stack & AI/ML Engineer building scalable cloud-native systems and production LLM solutions.

United States

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What I'm looking for

I seek roles building end-to-end AI platforms and production LLM systems with strong DevOps, collaborative cross-functional teams, and opportunities to lead architecture and MLOps.

I am a Full-Stack and AI/ML engineer with 10+ years building scalable, cloud-native software and production generative AI systems. I design and implement end-to-end ML pipelines, microservices, and CI/CD workflows using Python, Kubernetes, Terraform, and cloud services, and I specialize in RAG architectures, LangChain, Hugging Face, and GPT-class LLM integrations.

I have led cross-functional teams to deliver real-time data systems, multi-tenant ingestion platforms, and ML-driven products in finance, aerospace, and healthcare. My work emphasizes robust DevOps, automated testing, and developer experience while driving measurable outcomes such as automated insight generation, high-performance retrieval systems, and production-ready ML deployments.

Experience

Work history, roles, and key accomplishments

Backend & AI Engineer

Backed & AI Engineer

Amazon

Jun 2019 - Jan 2023 (3 years 7 months)

Led cross-functional teams to deliver ML, GenAI, and NLP solutions for financial analytics, built production AI features (chat assistants, backtesting, crypto arbitrage) and deployed cloud architectures on GCP and AWS.

Machine Learning NLP GCP Kubeflow BigQuery TensorFlow MLOps Tableau

Backed & AI Engineer

VMware

Jan 2016 - Jun 2019 (3 years 5 months)

Built scalable ML and ETL pipelines using AWS and ElasticSearch for the Global Hydrogen Index, applied BERT and GAT models for NLP and graph tasks, and improved data accuracy and processing time for index production.

AWS Elasticsearch BERT Graph Attention Networks ETL NLP Pyspark MLOps

Machine Learning Engineer

Microsoft

Jun 2014 - Jan 2016 (1 year 7 months)

Developed anomaly detection and fault-classification ML solutions for helicopter health analytics using deep learning, signal processing, and containerized deployments, delivering automated pipelines and hyperparameter testing frameworks.

TensorFlow Keras Anomaly Detection Signal Processing Docker Azure scikit learn

Full Stack Engineer

Cazoodle

Jan 2014 - May 2014 (4 months)

Built responsive frontends using AngularJS, React, HTML5, CSS3, and JavaScript/TypeScript to deliver high-quality user experiences.
Developed backend services and RESTful APIs using Python and Node.js, integrating with SQL Serverand Azure-based services.

TensorFlow Tf.Estimator Flask MLOps Hadoop Spark Hive Microservices Agile

Backend Engineer

Nvidia

May 2013 - Aug 2013 (3 months)

Wrote scripts in Python and Bash to automate data collection, parsing, and storage.
Supported integration of backend data pipelines with MySQL and NoSQL databases for large-scale data indexing.
Wrote and optimized scripts in Python to automate data extraction, transformation, and loading (ETL).

scikit learn Matlab Freesurfer Scripting Statistical Analysis SVM Neuroimaging

Education

Degrees, certifications, and relevant coursework

University of Illinois

Bachelor's Degree, Computer Science

2008 - 2012

Grade: 3.8

Activities and societies: N/A

Completed a Master of Science in Bioengineering with coursework and projects involving machine learning applied to biomedical data and signal processing.