James Nguyen
Ai Engineer @Revature
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WORK HISTORY
Ai Engineer @Revature
Dallas, TX, US
Engineered and deployed LLM applications using Vertex AI, FastAPI, Docker, and CI/CD pipelines on GCP.• Built RAG systems with Vector Databases (Chroma DB) and implemented semantic search using embeddingmodels.• Developed agentic AI workflows with LangChain and LangGraph for multi-step, autonomous systems.• Applied MLOps best practices including model versioning, environment promotion, and cloud serviceintegration (Cloud Run, IAM).• Built type-safe full-stack applications with TypeScript, React, and scalable API architecture.
SKILLS
ABOUT JAMES NGUYEN
Data Engineer / Backend Engineer with strong software engineering fundamentals and experience building scalable, cloud-native data and AI systems. Specialized in Python and advanced SQL, with deep expertise in Apache Spark (PySpark) for large-scale batch and real-time processing.Proven at delivering end-to-end ETL/ELT pipelines, streaming platforms, and high-performance APIs using FastAPI, Flask, Django, and AWS serverless architectures (Lambda, API Gateway). Strong background in AWS data platforms (S3, Glue, Redshift, Athena, Kinesis, Bedrock) and Snowflake, with exposure to GCP (Vertex AI).Hands-on experience with LLM-powered systems, including prompt engineering, LangChain/LangGraph, and RAG with vector databases. Strong foundation in distributed systems (Spark, Kafka, Hadoop), data lakehouse architectures, and DevOps (Docker, Kubernetes, CI/CD). Focused on building reliable, production-grade systems that scale and drive business impact.
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