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I am an experienced machine learning, algorithm, and infrastructure engineer with over 8 years of combined industry and research expertise. Throughout my career, I have designed, developed, and launched numerous projects specializing in anomaly detection, pattern recognition, and deep learning applied across multiple sectors including Industrial Cybersecurity, Credit Risk Management, Healthcare, and E-Commerce Recommender systems. I have a strong background in both cross-disciplinary and cross-functional collaboration, having led teams and coordinated efforts between engineers, product managers, ML experts, and other professionals. I thrive in building and deploying end-to-end machine learning pipelines and platforms, optimizing models for edge and cloud environments, and developing robust data infrastructures that support scalable AI-driven solutions.…I am an experienced machine learning, algorithm, and infrastructure engineer with over 8 years of combined industry and research expertise. Throughout my career, I have designed, developed, and launched numerous projects specializing in anomaly detection, pattern recognition, and deep learning applied across multiple sectors including Industrial Cybersecurity, Credit Risk Management, Healthcare, and E-Commerce Recommender systems. I have a strong background in both cross-disciplinary and cross-functional collaboration, having led teams and coordinated efforts between engineers, product managers, ML experts, and other professionals. I thrive in building and deploying end-to-end machine learning pipelines and platforms, optimizing models for edge and cloud environments, and developing robust data infrastructures that support scalable AI-driven solutions.

Taylor Luo

AI Engineer, Data Scientist, Full Stack Developer, +1

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I am an experienced machine learning, algorithm, and infrastructure engineer with over 8 years of combined industry and research expertise. Throughout my career, I have designed, developed, and launched numerous projects specializing in anomaly detection, pattern recognition, and deep learning applied across multiple sectors including Industrial Cybersecurity, Credit Risk Management, Healthcare, and E-Commerce Recommender systems. I have a strong background in both cross-disciplinary and cross-functional collaboration, having led teams and coordinated efforts between engineers, product managers, ML experts, and other professionals. I thrive in building and deploying end-to-end machine learning pipelines and platforms, optimizing models for edge and cloud environments, and developing robust data infrastructures that support scalable AI-driven solutions.…I am an experienced machine learning, algorithm, and infrastructure engineer with over 8 years of combined industry and research expertise. Throughout my career, I have designed, developed, and launched numerous projects specializing in anomaly detection, pattern recognition, and deep learning applied across multiple sectors including Industrial Cybersecurity, Credit Risk Management, Healthcare, and E-Commerce Recommender systems. I have a strong background in both cross-disciplinary and cross-functional collaboration, having led teams and coordinated efforts between engineers, product managers, ML experts, and other professionals. I thrive in building and deploying end-to-end machine learning pipelines and platforms, optimizing models for edge and cloud environments, and developing robust data infrastructures that support scalable AI-driven solutions.

Available to hire

I am an experienced machine learning, algorithm, and infrastructure engineer with over 8 years of combined industry and research expertise. Throughout my career, I have designed, developed, and launched numerous projects specializing in anomaly detection, pattern recognition, and deep learning applied across multiple sectors including Industrial Cybersecurity, Credit Risk Management, Healthcare, and E-Commerce Recommender systems.

I have a strong background in both cross-disciplinary and cross-functional collaboration, having led teams and coordinated efforts between engineers, product managers, ML experts, and other professionals. I thrive in building and deploying end-to-end machine learning pipelines and platforms, optimizing models for edge and cloud environments, and developing robust data infrastructures that support scalable AI-driven solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior ML & Data Engineer (Founding Engineer) at UnlockLand (Meton AI)

January 1, 2024 - Present

Developed an automated data pipeline for real estate data ingestion and cleanup, focusing on spatial features. Engineered market data entity extraction and feature engineering supporting backend systems and ML model training for parcel assessment and price prediction. Built a robust data infrastructure on Google Cloud to enable scalable end-to-end ML modeling. Coordinated cross-functional teams across product, ML experts, geologists, and QA to develop and launch a real estate investment AI application, implementing rigorous A/B testing and user behavior analysis.

Senior Machine Learning Engineer at Rongan Networks

December 31, 2023 - August 26, 2025

Led development of a machine learning platform for AI research optimizing intrusion detection systems processing millions of real-time security events. Led cross-disciplinary university research projects on intrusion detection. Developed an end-to-end ML pipeline for vulnerability description mining and named entity recognition using BERT, BiLSTM, and CRF achieving high accuracy (F1=0.95). Built APIs and CI/CD pipelines, and designed a web portal with data visualization and interactive features. Designed and deployed a network-wide security posture monitoring and analysis system using multiple detection models and novel deep learning techniques, increasing phishing URL detection accuracy from 50% to 92%. Obtained two patents based on the innovations.

Senior Machine Learning Engineer at Liesheng Electronic

December 31, 2022 - August 26, 2025

Technical lead for wearable devices intelligent platform delivering health monitoring solutions including sleep quality and weight analysis. Coordinated cross-functional teams to plan product roadmaps. Developed holistic health assessment models using sensor and exercise data, optimized algorithms for low hardware load and energy consumption on wearable devices. Designed a flexible data ingestion pipeline processing 50+ health data types across 20+ activity types. Improved sleep categorization accuracy from 11% to 25.7% using ensemble modeling techniques. Successfully launched the end-to-end system serving over 3 million users.

Machine Learning Engineer (Founding Engineer) at Semcorel Technology

December 31, 2021 - August 26, 2025

Developed full-stack web applications and microservices for real-time health data dashboards providing visualization and ML-driven recommendations. Defined data schema and integrated databases. Architected and implemented an end-to-end ML platform including automated machine learning for continuous model iteration, resource management across cloud and edge nodes, and multi-provider health data pipelines supporting cleaning and signal processing. Developed innovative fall detection algorithm utilizing wireless wave and sonar with accuracy outperforming existing products. Optimized models for edge deployment reducing resource consumption by 30%. Managed cloud and edge data integration and developed messaging middleware for device management.

Machine Learning Engineer (Co-op) at NERCITA

December 31, 2019 - August 26, 2025

Built end-to-end data and machine learning pipelines supporting credit evaluation and marketing optimization for an e-commerce platform. Developed Spark-based batch processing and Kafka streaming pipelines for business credit rating and click-through rate data. Enhanced recommendation algorithms using UserCF and ItemCF collaborative filtering to improve user engagement by 3%.

Senior ML & Data Engineer (Founding Engineer) at UnlockLand (Meton AI)

January 1, 2024 - Present

Focused on developing and automating comprehensive data pipelines for real estate data ingestion and cleaning, including processing parcel spatial features. Engineered market data entity extraction and vectorization to build a robust data platform service supporting backend systems and price prediction ML models. Built scalable data infrastructure leveraging Google Cloud services to support end-to-end ML workflows. Coordinated cross-functional teams including product, ML experts, geologists, and QA to develop and deploy a machine learning-based real estate investment application, implementing rigorous A/B testing and user behavior analysis.

Senior Machine Learning Engineer at Rongan Networks

January 1, 2023 - August 26, 2025

Developed a machine learning platform for AI research aimed at optimizing intrusion detection systems. Led cross-discipline projects with university partners to build ML-based systems processing millions of security events in real time. Created an end-to-end ML platform supporting vulnerability description mining using BERT-NER, BiLSTM-CRF models achieving high accuracy and precision. Developed entity recognition APIs, implemented CI/CD pipelines, monitoring dashboards, and designed researcher web portals for analysis and interactive assistance. Delivered a novel deep learning phishing and suspicious URL detection model improving accuracy from 50% to 92%, proposed unique model augmentation techniques, and contributed to patents.

Senior Machine Learning Engineer at Liesheng Electronic

January 1, 2022 - August 26, 2025

Tech lead for machine learning algorithms in wearable device platform development for monitoring sleep quality, weight, and health status. Led cross-functional teams and contributed to sensor data integration, physiological analysis, and competitor benchmarking to improve models. Developed algorithms optimized for low hardware load and energy consumption across multiple data types and activities. Proposed novel optimizations reducing calculation errors significantly and enhanced sleep categorization accuracy using advanced ML models. Successfully launched end-to-end system serving over 3 million users.

Machine Learning Engineer (Founding Engineer) at Semcorel Technology

January 1, 2021 - August 26, 2025

Developed full-stack web applications and microservices for real-time health dashboards with ML-generated recommendations. Designed data schemas and integrated databases with decoupled data layers for efficient queries. Architected an end-to-end machine learning platform automating model iteration and resource management across cloud and edge nodes. Created fall detection algorithms leveraging nine AI models, outperforming existing commercial solutions. Deployed AI algorithms on edge devices with optimized resource use, managed cloud-edge integration, and built messaging middleware for remote device management. Developed centralized computation resource control for distributed deployment.

Machine Learning Engineer (Co-op) at NERCITA

January 1, 2019 - August 26, 2025

Built end-to-end data and machine learning pipelines supporting credit rating and marketing campaigns on an e-commerce platform. Developed batch and streaming data workflows using Spark and Kafka to process credit rating and CTR data. Improved recommendation accuracy and user engagement by implementing collaborative filtering algorithms such as UserCF and ItemCF.