# AI/ML Engineer Location United StatesDesired Salary UnspecifiedWork preference Full TimeLinksNot setJoined29 Jun 2026Field / Industry Software Engineering * SharePreferences:Status: Actively lookingRelocation: NoNotice Period: ImmediateSkill Assessments:This user has not passed any tests yet Languages: Chinese - English - Report [Overview](#overview) ## About Me I am an AI/ML Engineer with 5+ years of experience building and deploying production-scale machine learning systems. My work spans search, recommendation, computer vision, and generative AI, with a strong focus on delivering measurable business impact. I specialize in LLM-powered applications, including GPT-4-based workflows, retrieval-augmented generation, semantic retrieval, embeddings, prompt engineering, and agentic automation. I enjoy turning complex product needs into scalable AI solutions that can operate reliably in production. At Uber, I architected deep-learning ranking models and personalized ranking pipelines that improved discovery, conversion, and search relevance at massive scale. I also built semantic retrieval and RAG systems, real-time feature pipelines, and low-latency inference services supporting multiple product teams. Previously at Walmart Global Tech, I developed ranking and recommendation models for sponsored advertising, built ML inference microservices, and improved model freshness through automated retraining pipelines. I also worked on computer vision systems and evaluated LLM approaches for semantic retrieval and query understanding. My background includes strong experience with Python, SQL, TypeScript, JavaScript, React, PyTorch, TensorFlow, FastAPI, AWS, Docker, Kubernetes, Kafka, Spark, PostgreSQL, Elasticsearch, Redis, and modern ML tooling. I am comfortable working across the full lifecycle of AI systems, from experimentation and model development to deployment and monitoring. I have a PhD in Electrical and Electronics Engineering from the University of California, Riverside, along with a master's degree from Washington University in St. Louis and bachelor's degrees from Swansea University and North China Electric Power University. I value cross-functional collaboration and data-driven experimentation to build AI products that create real user value. ## Skills ### [Python](https://jobicy.com/talent/python.md)[SQL](https://jobicy.com/talent/sql.md)[AWS](https://jobicy.com/talent/aws.md)[Data Analysis](https://jobicy.com/talent/data-analysis.md)[JavaScript](https://jobicy.com/talent/javascript.md)[Kubernetes](https://jobicy.com/talent/kubernetes.md)[React](https://jobicy.com/talent/react.md)[Docker](https://jobicy.com/talent/docker.md)[CI CD](https://jobicy.com/talent/ci-cd.md)[TypeScript](https://jobicy.com/talent/typescript.md)[PostgreSQL](https://jobicy.com/talent/postgresql.md)[Kafka](https://jobicy.com/talent/kafka.md)[A B Testing](https://jobicy.com/talent/a-b-testing.md)[Microservices](https://jobicy.com/talent/microservices.md)[Redis](https://jobicy.com/talent/redis.md)[TensorFlow](https://jobicy.com/talent/tensorflow.md)[NLP](https://jobicy.com/talent/nlp.md) ## Education University of California, Riverside 2016 - 2021 Doctor of Philosophy in Electrical and Electronics Engineering Washington University in St. Louis 2014 - 2016 Master's degree in Electrical and Electronics Engineering Swansea University 2011 - 2013 Bachelor of Engineering in Electrical and Electronics Engineering North China Electric Power University 2009 - 2011 Bachelor's degree in Electrical and Electronics Engineering ## Experience ML / AI Engineer @ Uber Jun 2022 - Present Architected deep-learning ranking models for Uber Eats search, built personalized restaurant-ranking pipelines, designed semantic retrieval systems, developed GPT-4-powered query understanding and RAG workflows, built reusable AI inference services and low-latency APIs, developed real-time feature engineering pipelines, optimized Redis caching and backend infrastructure, led experimentation and evaluation frameworks, built production ML systems for dynamic rider pricing and incentive optimization, and partnered cross-functionally to deliver scalable AI solutions. Senior Data Scientist @ Walmart Global Tech Mar 2021 - Jun 2022 Developed production ranking models for sponsored advertising, built large-scale recommendation systems, engineered ML inference microservices, designed automated retraining pipelines, evaluated LLM providers and prompt-engineering approaches, built computer vision systems, improved object detection robustness, conducted data-quality analyses, and collaborated with stakeholders on high-impact AI opportunities. Data Science Research Intern @ Walmart Global Tech Jun 2020 - Aug 2020 Developed NLP-based advertising recommendation models using BERT, built prototype query understanding systems, developed reusable APIs and prompt orchestration pipelines, conducted experiments comparing transformer architectures, and presented findings to senior leadership.