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Richard Chiou

@richardchiou

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Experienced AI/ML engineer delivering production-grade computer vision and NLP solutions.

United States

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What I'm looking for

I seek roles building and deploying production AI/ML systems (CV, NLP, GenAI) with strong MLOps, cross-functional collaboration, and cloud-native practices that scale impact.

I am an experienced AI/ML engineer with 10+ years designing, developing, and deploying production-grade machine learning and deep learning solutions across computer vision, NLP, GenAI, and real-time analytics. I led projects such as WildTrack (95%+ footprint identification accuracy) and an LLM-based Healthcare Virtual Assistant that improved clinical workflow efficiency by 60%.

I build scalable, cloud-native AI systems and MLOps pipelines, integrating models into mobile apps and production services. I reduced model prediction latency from 2s to 300ms for field users, implemented RAG-powered LLMs on SageMaker handling 500+ patient conversations monthly, and established high-availability traffic AI pipelines ingesting 500K+ daily records with 99.9% uptime.

I collaborate cross-functionally and lead teams to operationalize reproducible workflows using MLflow, DVC, Docker, and cloud services. I’m proficient in Python, PyTorch, TensorFlow, LangChain, ONNX, OpenCV, Spark, Kafka, and AWS/GCP/Azure, and I mentor and instruct to raise team capability and deliver measurable impact.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

Outlier

Jan 2024 - Present (2 years 2 months)

Led development and deployment of WildTrackAI and LLM-based healthcare assistant, achieving >95% species/individual identification accuracy and reducing doctor-patient meeting time by 30% while lowering model deployment time by 40%.

ResNet50 PyTorch Onnx Sagemaker MLOps Docker PostgreSQL

Senior AI/ML Engineer

StreetLight Data

Jan 2022 - Dec 2023 (1 year 11 months)

Architected spatio-temporal forecasting and real-time incident detection models, improving traffic flow prediction accuracy by 23% and reducing operator detection latency by 35%, and validated RL evacuation strategies with up to 18% throughput gains.

Graph WaveNet Reinforcement Learning Kafka Spark Sagemaker Sumo PostGIS PyTorch Airflow

Data Scientist, Instructor

Metis

Aug 2019 - Dec 2021 (2 years 4 months)

Mentored 70+ learners and authored 50+ hands-on exercises, guiding 20+ capstone projects to produce production-ready ML models and advance career placements in data science roles.

TensorFlow PyTorch Model Evaluation Flask fastAPI Docker AWS GCP

AI/ML Engineer

Signifyd

Aug 2018 - Jul 2019 (11 months)

Engineered fraud detection models processing 100K+ daily transactions, reducing chargebacks by 15% and increasing legitimate approval rates by 10% through adaptive thresholds and A/B testing.

XGBoost scikit learn Pandas SQL A B Testing fastAPI AWS

Senior Data Scientist

Brain Technologies

Jul 2017 - Jul 2018 (1 year)

Managed data generation and annotation workflows producing 50K+ examples and operationalized NER systems to improve entity extraction accuracy by 25% for virtual assistant applications.

SpaCy Data Annotation NER NumPy Pandas Annotation Workflows NLP

Mid-level Data Scientist

xAd

Aug 2016 - Jun 2017 (10 months)

Developed hierarchical and Bayesian models on 10M observations to increase store visits by 25% and built a mobile user-id quality ranking model that improved targeting precision by 20%.

Python SQL Hierarchical Modeling Hadoop

Mobile Tools Intern

PayPal

Aug 2014 - Apr 2015 (8 months)

Built PPUtils to automate creation of 10K+ test user accounts and a login performance dashboard, improving CI testing efficiency by 45% through automated alerts and root-cause analysis.

Python CI CD Test Automation Performance Monitoring Android iOS