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Harry Zhang

Hi, I'm Harry Zhang - Senior Applied Scientist at Amazon

I thrive on transforming complex data into actionable insights and deploying impactful ML models. My passion lies in building and scaling AI solutions responsibly, especially in dynamic environments like Amazon. I love tackling challenges where applied AI can drive significant innovation and create exceptional customer value.

Amazon
Reston, VA, USA
AI insights

At a glance

Curated signals on strengths, focus areas, and how they can help.

They possess a strong foundation from Caltech's postdoctoral research in computational biology.

They currently serve as a Senior Applied Scientist at Amazon, focusing on impactful ML solutions.

They can help architect scalable ML solutions and provide guidance on MLOps best practices.

🚀 Career trajectory

Academic Foundation

Began career with a Postdoctoral Researcher role in Computational Biology at Caltech, building a strong analytical and research foundation.

Computational Biology

Postdoctoral Research

Caltech

Machine Learning Engineering Growth

Transitioned into Machine Learning Engineering at Leidos, honing skills in practical AI development and deployment for government and commercial applications.

Machine Learning Engineer

Leidos

Applied Research

Senior AI Leadership

Advanced to Principal Machine Learning Engineer at Anthem and currently serve as a Senior Applied Scientist at Amazon, focusing on high-impact ML solutions.

Principal ML Engineer

Senior Applied Scientist

Amazon

💪🏻 Superpowers

ML Model Deployment Expert

From concept to production, I deliver robust machine learning solutions.

Proven ability to develop and deploy ML models to production environments.

Experience in MLOps, ensuring scalability and reliability of AI systems.

Skilled in A/B testing and performance monitoring for continuous improvement.

Applied AI Strategist

Bridging research and application to drive business value with AI.

History of applying machine learning to solve complex business challenges.

Expertise in recommender systems and online advertising optimization.

Focus on Responsible AI to ensure ethical and effective deployment.

Technical Leadership & Collaboration

Guiding teams and projects with strong technical vision.

Demonstrated experience in technical leadership and engineering management.

Proficient in code reviews and fostering best practices.

Skilled in debugging complex systems and ensuring code quality.

I'm excited about

Exploring novel applications of Retrieval-Augmented Generation (RAG) in real-time systems.

Connecting with AI innovators to discuss advancements in Responsible AI and ethical frameworks.

Seeking opportunities to contribute to impactful projects in applied machine learning.

I can help with

Architecting and implementing scalable machine learning solutions for complex problems.

Providing guidance on best practices for MLOps and production ML deployments.

Sharing insights on building effective recommender systems and personalization engines.

I would love your help on

Identifying emerging startups at the forefront of AI-driven innovation.

Connecting with experts in specialized domains for cross-disciplinary collaboration.

Discovering new communities focused on cutting-edge AI research and development.