Chris Chan

Architected a web-based chatbot using Retrieval-Augmented Generation with models like GPT-4o, LLaMA, and Mistral, managing a repository of 300,000 vectors with Qdrant and Pinecone. Developed a Telegram mini-app for voice interaction supporting eight major languages. Automated email responses and engineered a phone bot resolving insurance queries. Integrated AI function management via Google Calendar API and leveraged Stable Diffusion and OpenAI DALL-E for an image editing suite. Built backend systems for a real-time syncing voice bot with a 3D animation engine, orchestrated MLOps pipelines with Kubernetes and TensorFlow Extended managing GPU clusters, and deployed ML solutions on AWS SageMaker, GCP, and AWS Lambda, optimizing latency and resource use.

Architected Go-based microservices aggregating exchange data using Kafka and Amazon EKS for scaling. Engineered a multi-threaded Rust WebSocket proxy server with Tokio and Axum for market data delivery. Enhanced SaaS product backend with Nest.js and refactored order book implementation from TypeScript to Rust, improving performance and memory management. Optimized backend with Redis caching and database queries, integrated APIs from major exchanges conducting conformance testing, and improved monitoring with Elasticsearch and Grafana.

Directed development of a hotel and flight reservation platform integrating cryptocurrency and multi-bank payments. Created a Go-based WebRTC streaming service with Kafka, Kubernetes, and AI-powered multilingual speech-to-text. Transitioned 5+ monolithic applications to microservices architecture improving scalability. Configured sharded MongoDB clusters for stock and cryptocurrency data, implemented AWS Lambda for reinforcement learning AI, authored technical documentation, and optimized CI/CD workflows with Jenkins, Ansible, and Terraform.