Richard Wang
@richardwang
Senior Python backend engineer building scalable, cloud-native distributed systems.
What I'm looking for
I am a Senior Python Engineer with 10+ years building scalable backend systems, cloud-native applications, and production-grade platforms for enterprise environments.
My work focuses on high-performance APIs, data-intensive services, and distributed systems using Python, Django, FastAPI, and SQLAlchemy, combined with strong database design and query performance tuning.
I have delivered reliable, secure production systems at AWS, SAP, HCA Healthcare and other organizations, implementing microservices, asynchronous processing, CI/CD pipelines, and monitoring frameworks to improve latency and throughput.
I collaborate effectively with remote, cross-functional teams, mentor engineers, and design maintainable architectures that balance performance, reliability, and data protection while integrating ML capabilities into backend platforms.
Experience
Work history, roles, and key accomplishments
Senior Python / AI Engineer
HCA Healthcare
Mar 2024 - Present (2 years)
Designed and implemented scalable backend services and production pipelines for healthcare analytics, improving reliability and performance across distributed environments while ensuring data security and compliance.
Senior Backend / AI Engineer
SAP
Feb 2022 - Feb 2024 (2 years)
Developed backend services and optimized data processing pipelines for ML-driven enterprise applications, reducing latency and increasing throughput through cloud performance tuning and scalable deployments.
Senior Python Engineer
Amazon Web Services
Jul 2017 - Jan 2022 (4 years 6 months)
Designed scalable microservices and production-ready backend systems delivering real-time predictions, implemented distributed services with reliability guarantees and monitoring frameworks for enterprise customers.
Machine Learning Engineer
Southern Methodist University
Sep 2015 - May 2017 (1 year 8 months)
Built Python data processing pipelines and research tools for large-scale experiments using distributed compute systems to support academic machine learning research.
Developed backend data pipelines and scalable ETL workflows for fraud detection and analytics, optimizing SQL and dataset processing to improve system throughput.
Developed NLP prototypes and experimental backend tooling to support research projects, contributing to prototype validation and tooling for data experiments.
Education
Degrees, certifications, and relevant coursework
Southern Methodist University
Master of Science, Computer Science
Completed a Master of Science in Computer Science with coursework and projects focused on machine learning, distributed compute systems, and Python-based data pipelines.
University of Texas at Austin
Bachelor of Science, Statistics
Completed a Bachelor of Science in Statistics with emphasis on data analysis, statistical modeling, and supporting backend data pipelines.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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