Kris Chou

As a Technical Leader and Data Engineer, I design and build scalable, data-driven platforms that power analytics, machine learning, and AI applications. I work extensively with Python, SQL, and modern cloud ecosystems across AWS and GCP, developing robust data pipelines, data models, and distributed processing solutions using frameworks such as FastAPI, Django, and Spark-based architectures.

I specialize in integrating data engineering with AI systems, including LLM-driven workflows, RAG pipelines, and semantic search. My focus is on building reliable, cloud-native data platforms that support high-throughput ingestion, real-time and batch processing, and efficient data access for downstream analytics and machine learning workloads.

With over a decade of experience, I’ve led engineering teams and owned data and system architecture end to end. I’ve designed microservices-based platforms, real-time streaming pipelines, and intelligent automation solutions while setting technical direction, reviewing implementations, and aligning engineering execution with product and business objectives.

I thrive in fast-paced environments where I can solve complex data challenges, mentor engineers, and help scale both platforms and teams. I enjoy collaborating closely with product, data science, and AI stakeholders to transform raw data into dependable, production-ready systems that deliver measurable impact.