Open to opportunities

Daniel Zhou

@danielzhou

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AI and Machine Learning Engineer specializing in NLP, recommender systems, and scalable deployments.

United States

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What I'm looking for

I seek an engineering role building production ML/NLP systems with a collaborative team focused on fairness, transparency, and measurable user impact.

I am an AI and Machine Learning Engineer with 3+ years of experience building NLP, computer vision, and recommender systems; I design, develop, and deploy scalable models using frameworks like TensorFlow and PyTorch and tools such as Docker, Kubernetes, and AWS/GCP. I have delivered production ML features that reduced inference latency, built transformer-based resume–job matching models, and implemented explainability and fairness-aware solutions for recruitment platforms.

My work blends research and applied engineering: I published on fairness in AI, created bias-aware job matching algorithms, and developed practical products like SmartCareer, an NLP resume analyzer with real-time feedback. I collaborate closely with product, data, and design teams to launch impactful ML solutions that prioritize transparency, equity, and real-world value.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Applied Tech Technologies

Jan 2023 - Present (3 years 2 months)

Developed scalable NLP pipelines that reduced model inference latency by 40% and built transformer-based models for resume–job description matching; launched explainability modules to increase transparency in hiring AI features.

Python PyTorch TensorFlow NLP Transformers Docker Kubernetes MLFlow

AI Research Intern

AI Research Lab, University of Florida

Jun 2021 - Dec 2022 (1 year 6 months)

Conducted research on fairness in AI-powered recruitment systems, published findings in IEEE and NeurIPS workshops, and developed a fairness-aware job recommender for student employment platforms.

NLP Recommender Systems Python scikit learn Research PyTorch

Data Science Consultant

EduMatch Inc.

Jan 2021 - May 2021 (4 months)

Developed a graph-based recommendation engine for student mentorship pairing that improved match satisfaction by 35% versus baseline heuristics.

Recommendation Systems Python SQL Data Engineering Model Evaluation A B Testing

Education

Degrees, certifications, and relevant coursework

University of Florida

Master of Science, Computer Science

Completed a Master of Science in Computer Science with a concentration in AI; coursework included Machine Learning, Deep Learning, NLP, and Distributed Systems.

University of Central Florida

Bachelor of Science, Computer Engineering

Activities and societies: Dean's List; Capstone Project: AI-powered Career Path Recommender

Completed a Bachelor of Science in Computer Engineering; achieved Dean's List recognition and completed a capstone project on an AI-powered career path recommender.