Kris Chou

• Designed scalable, event-driven backend for real-time AI image/video generation using Python, Django, and GCP, supporting thousands of concurrent users • Integrated OpenAI models and LLMs into production pipelines, enabling automated text-to-media workflows • Optimized GPU clusters and transitioned to GKE auto-scaling infrastructure, reducing inference costs by 30% • Implemented RAG pipelines and AI-driven search, improving content generation relevance by 25%

• Led 5-engineer team to build Gen AI-powered product recommendation tool with Python, LangChain, OpenAI, and AstraDB • Developed RAG pipelines using OpenAI Embeddings, Faiss, and LangChain for improved content retrieval • Built AI chatbot leveraging LangChain SQLChain, pgvector, and OpenAI NLP models to automate entrepreneur support workflows • Directed project planning, technical architecture, and cross-functional collaboration across cloud (AWS, GCP)

• Developed AI-powered chatbot and SaaS solutions integrated with real estate CRMs. • Designed, architected, and rearchitected backend solutions for improved scalability and performance. • Built conversation pipelines on AWS using Lambda, AppSync, Cognito, DynamoDB, SSM, OpenSearch, ECS, and RDS. • Refactored and optimized Flask and Django REST APIs to improve response times and reduce latency. • Implemented Terraform to provision and manage cloud infrastructure across AWS.

• Developed and optimized ETL pipelines for data transformation and analytics using AWS Lambda, Google Datastore, and S3. • Led technical decision-making for cloud platforms based on A/B testing (Google App Engine, Elastic Beanstalk, Google BigQuery, AWS Redshift, OpenSearch).• Built CI/CD pipelines using AWS CodeCommit, CodeBuild, CodeDeploy, EC2, Beanstalk, CloudFront, and CloudWatch. • Enhanced Node.js + PostgreSQL backend by fixing legacy issues, reducing technical debt, and improving performance.