Looking for a job

Raymond Sun

@raymondsun

Software developer focused on large-scale data platforms, streaming systems, and production machine learning infrastructure on AWS.

United States

Message

What I'm looking for

I’m looking for a role where I can design cloud-native data platforms and production ML/streaming systems—owning scalable pipelines, improving performance end-to-end, and using data to drive real business outcomes.

I build large-scale data platforms and machine learning infrastructure, combining distributed data pipelines, streaming systems, and scalable data lakes. At CGI, I designed and maintained a critical Python library for training ML models at massive scale, built secure data aggregation, and migrated services to run on Docker and Kubernetes.

I also architected cloud-native AWS ecosystems spanning batch and streaming pipelines, monitoring and alerting, and end-to-end ML systems. I’ve driven major impact—reducing model training time by 95% (20 hours to one) and implementing an exactly-once stream processing pipeline—alongside improvements to refresh time from three hours to three minutes through Lambda architecture work at Mastech Digital.

Experience

Work history, roles, and key accomplishments

Current

Software Developer

Current

CGI

Jun 2022 - Present (3 years 9 months)

Designed and maintained a critical Python library for training ML models at massive scale and built secure data aggregation and AWS-based batch/streaming data lake and warehouse infrastructure. Reduced model training time by 95% (20 hours to 1 hour) and implemented an exactly-once streaming pipeline for self-service push notifications.

Python AWS Apache Spark Apache Kafka Apache Airflow Amazon EMR Kubernetes Docker Stream Processing Machine Learning

Software Developer

Mastech Digital

Dec 2021 - Jun 2022 (6 months)

Improved recommendation CTR by 20% by implementing production-level code and optimized ML training/evaluation to cut training time by 50%. Built Scala/Akka/Spark Streaming streaming pipelines and implemented a Lambda architecture for ML, reducing refresh time from 3 hours to 3 minutes.

Scala Akka Apache Kafka Stream Processing Lambda Machine Learning NLP Recommendation Systems Server Sent Events

Software Developer

Tata Consultancy Services

Jul 2015 - Mar 2022 (6 years 8 months)

Defined MDM rules and data governance processes and supported Tropicana reporting framework enhancements by analyzing CPG vendor, US census, and TBG data to identify sales opportunities. Designed Lambda architecture for ML to enable near-real-time processing and built NLP-based data pipelines and recommendation models that improved content relevance.