Ricky Zheng
@rickyzheng
Senior AI/ML engineer driving AI-first solutions for logistics and scalable data platforms.
What I'm looking for
I am a Senior AI/ML Engineer with deep experience building end-to-end machine learning systems, MLOps infrastructure, and AI-driven automation for logistics and retail. I led initiatives that integrated carrier APIs, deployed custom LLMs, implemented RAG with vector stores, and engineered scalable microservices using Docker, Kubernetes, and Terraform to deliver measurable business impact.
My work has produced operational efficiencies and revenue growth—streamlining shipping workflows, automating customer support with agentic LLMs, and building forecasting and recommendation systems using Snowflake, Databricks, Spark, and advanced model fine-tuning methods. I prioritize robust data pipelines, CI/CD for model delivery, and production-grade monitoring to ensure reliable, high-impact AI deployments.
Experience
Work history, roles, and key accomplishments
Lead AI & Data Engineer
United-Bridge
Oct 2019 - Present (6 years 1 month)
Led development and deployment of AI/ML systems and microservices to streamline logistics workflows, integrate carrier APIs, and implement RAG-based customer automation, contributing to over $2M in annual revenue growth.
Lead AI Engineer, CTO
Jing Hong Inc DBA
Aug 2016 - Dec 2019 (3 years 4 months)
Led design and delivery of a retail service platform with scalable ETL, recommendation engines, and real-time streaming, improving personalization and sales forecasting across the business.
Senior Software Engineer
Marketing Mindset
Oct 2011 - Oct 2016 (5 years)
Progressed from intern to senior engineer leading distributed data workflows and ML-driven marketing analytics, enabling large-scale ETL and predictive segmentation to improve campaign performance.
Education
Degrees, certifications, and relevant coursework
Pasadena City College
Diploma of Computer Science, Computer Science
2008 - 2011
Completed a Diploma in Computer Science focusing on foundational computing principles, programming, and data processing between 2008 and 2011.
Tech stack
Software and tools used professionally
Airbyte
Apache Spark
GitHub
Kubernetes
Jenkins
Pandas
MySQL
PostgreSQL
MongoDB
Hadoop
Node.js
Django
Databricks
Redis
Terraform
Pulumi
JavaScript
Java
TensorFlow
MLflow
scikit-learn
Kubeflow
Kafka
FastAPI
Gemini
Firebase
Ansible
Airflow
Google BigQuery
CUDA
SQL
Amazon SageMaker
Qdrant
LangChain
LlamaIndex
ChromaDB
Pinecone
CrewAI
ElevenLabs
OpenAI API
Mistral AI
Baseten
Agentic
Enhance
LangGraph
Availability
Location
Authorized to work in
Job categories
Skills
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