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Daniel Chang
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United States
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Senior AI/ML EngineerEnigmaApr 2022 - Current (3 years 4 months)• Spearheaded the design and implementation of end-to-end machine learning pipelines using TensorFlow, Keras, and PyTorch, resulting in a 25% increase in model accuracy for predictive analytics. • Architected and deployed scalable AI solutions on Oracle Cloud Infrastructure (OCI), leveraging Kubernetes and Docker for containerization and orchestration, reducing deployment time by 40%. • Enhanced deep learning models for image recognition and natural language processing (NLP) using NVIDIA CUDA and TensorRT, achieving a 3x improvement in inference speed. • Developed robust RESTful APIs and GraphQL endpoints for AI-driven applications using FastAPI and Flask, ensuring seamless integration with frontend systems and third-party services. •- Backend EngineerBroadridgeJun 2016 - Dec 2018 (2 years 7 months)• Designed and implemented robust and scalable backend services for financial applications using Python, Django, and Flask, ensuring high availability and performance. • Developed and maintained secure RESTful APIs and GraphQL endpoints for efficient data exchange with frontend applications and third-party services. • Optimized performance of SQL and NoSQL databases (PostgreSQL, MongoDB) through query optimization and indexing, reducing query execution times by 40%. • Utilized microservices architecture to design modular and maintainable backend systems, improving system reliability and making it easier to update individual components. • Automated deployment processes using Ansible, Terraform, and Docker, reducing manual configuration
Education
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- AAWS Certified Developer - Associate
- FBachelor's degreeFLORIDA TECHNICAL COLLEGE
- PCertified Professional in Python Programming 1PCPP1–