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Senior engineer blending machine learning systems with production-grade full-stack delivery. I design scalable APIs and data services, then integrate them into user-facing applications with reliable deployment practices. Experienced in end-to-end system design, performance tuning, and communicating technical tradeoffs to stakeholders. Comfortable working in remote, client-driven environments with clear milestones and measurable outcomes.…Senior engineer blending machine learning systems with production-grade full-stack delivery. I design scalable APIs and data services, then integrate them into user-facing applications with reliable deployment practices. Experienced in end-to-end system design, performance tuning, and communicating technical tradeoffs to stakeholders. Comfortable working in remote, client-driven environments with clear milestones and measurable outcomes.

Shaojun Luo

Full Stack Developer, Data Scientist, AI Engineer, +3

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Senior engineer blending machine learning systems with production-grade full-stack delivery. I design scalable APIs and data services, then integrate them into user-facing applications with reliable deployment practices. Experienced in end-to-end system design, performance tuning, and communicating technical tradeoffs to stakeholders. Comfortable working in remote, client-driven environments with clear milestones and measurable outcomes.…Senior engineer blending machine learning systems with production-grade full-stack delivery. I design scalable APIs and data services, then integrate them into user-facing applications with reliable deployment practices. Experienced in end-to-end system design, performance tuning, and communicating technical tradeoffs to stakeholders. Comfortable working in remote, client-driven environments with clear milestones and measurable outcomes.

Available to hire

Montclair, United States

Senior engineer blending machine learning systems with production-grade full-stack delivery.

I design scalable APIs and data services, then integrate them into user-facing applications with reliable deployment practices. Experienced in end-to-end system design, performance tuning, and communicating technical tradeoffs to stakeholders. Comfortable working in remote, client-driven environments with clear milestones and measurable outcomes.

Skills

Experience Level

Expert

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Work Experience

Machine Learning Engineer at Meta

August 1, 2022 - Present

Led development of LLM-driven personalization systems to improve creator discovery and feed distribution. Designed transformer-based models to interpret creator intent and stylistic signals, enabling more human-like content understanding. Owned full ML lifecycle: problem formulation, experimentation, model training, evaluation, deployment, and monitoring. Implemented large-scale distributed training and inference pipelines for high-traffic production systems. Applied causal inference techniques to measure recommendation system impact. Built production-ready model serving systems integrated with internal microservice infrastructure. Collaborated with product and engineering teams to translate ambiguous research problems into scalable ML solutions.

Senior Data Scientist at Ro

July 1, 2020 - August 1, 2022

Built end-to-end machine learning solutions for healthcare product applications. Designed NLP pipelines for extracting insights from medical and patient-generated text. Developed clinical information extraction systems from semi-structured and unstructured medical data. Led modeling efforts for user intent prediction using behavioral and alternative datasets. Architected scalable APIs to serve ML outputs to production healthcare systems. Ensured compliance and reliability in handling sensitive healthcare data. Collaborated cross-functionally with medical, regulatory, and product teams.

Data Scientist at Enigma Technologies

January 1, 2019 - June 1, 2020

Architected knowledge graph systems for SMB intelligence and risk analysis. Developed entity resolution and relation inference models. Applied NLP and statistical inference to alternative datasets. Built scalable data pipelines on cloud infrastructure (AWS RDS). Designed ML workflows for structured and unstructured data integration. Contributed to system architecture decisions for ML production systems.

Data Scientist at GeoPhy

August 1, 2013 - April 1, 2016

Developed ML models for real estate valuation using alternative data sources. Designed hybrid models combining text mining and geospatial features. Built automated data scraping and preprocessing systems.

Machine Learning Engineer at Meta

August 1, 2023 - Present

Designed and implemented a production ML inference service using FastAPI with Redis caching and PostgreSQL-backed metadata, reducing average response latency by 38% under peak traffic. Built an event-driven pipeline that ingests user signals, performs feature computation, and publishes model-ready payloads via a message workflow, improving end-to-end freshness by 2.1x. Created versioned RESTful APIs with OpenAPI contracts and automated schema validation, enabling safer client integrations and cutting integration defects by 27%. Partnered with cross-functional stakeholders to translate product requirements into system design tradeoffs, delivering measurable reliability improvements reflected in monitoring dashboards and alerting thresholds.

Research Associate at Kcore Analytics LLC

March 1, 2020 - July 1, 2020

Prototyped data processing components and evaluation tooling to support applied research deliverables, improving experiment turnaround time by 30%. Collaborated with remote stakeholders to clarify requirements and translate them into reproducible pipelines with clear documentation and handoff artifacts.

Data Scientist at Enigma Technologies, Inc

January 1, 2019 - June 1, 2020

Built analytics services and model evaluation workflows that supported production decisioning, improving operational consistency across deployments. Developed robust data validation checks and monitoring signals to detect drift and data quality regressions early, reducing rework cycles.

Data Scientist at GeoPhy

June 1, 2018 - January 1, 2019

Delivered end-to-end modeling experiments and performance reporting, translating technical findings into actionable recommendations for engineering partners. Implemented reproducible training and evaluation pipelines to ensure consistent results across datasets and releases.