I am a software engineer with a focus on building backend services, ML model management, and scalable data pipelines. At Pony.ai, I designed REST and gRPC APIs in Python and Go, built and optimized storage with PostgreSQL and Redis, and coordinated workflow execution and model deployments. I also implemented CI/CD pipelines using Kubernetes-based Argo Workflows, Jenkins, and Bazel to automate builds and deployments across AI, Perception, and Mapping teams. Before Pony.ai, I contributed to Rocket Mortgage's mortgage platform and Microsoft’s resilience tooling during internships, gaining experience in full-stack development with Spring Boot, React, and cloud-based CI/CD. I enjoy building observable, high-availability systems and mentoring teammates, and I’ve led side projects like an AI onboarding chatbot and an event-driven pipeline that ground responses in internal docs.

Jingai Liang

I am a software engineer with a focus on building backend services, ML model management, and scalable data pipelines. At Pony.ai, I designed REST and gRPC APIs in Python and Go, built and optimized storage with PostgreSQL and Redis, and coordinated workflow execution and model deployments. I also implemented CI/CD pipelines using Kubernetes-based Argo Workflows, Jenkins, and Bazel to automate builds and deployments across AI, Perception, and Mapping teams. Before Pony.ai, I contributed to Rocket Mortgage's mortgage platform and Microsoft’s resilience tooling during internships, gaining experience in full-stack development with Spring Boot, React, and cloud-based CI/CD. I enjoy building observable, high-availability systems and mentoring teammates, and I’ve led side projects like an AI onboarding chatbot and an event-driven pipeline that ground responses in internal docs.

Available to hire

I am a software engineer with a focus on building backend services, ML model management, and scalable data pipelines. At Pony.ai, I designed REST and gRPC APIs in Python and Go, built and optimized storage with PostgreSQL and Redis, and coordinated workflow execution and model deployments. I also implemented CI/CD pipelines using Kubernetes-based Argo Workflows, Jenkins, and Bazel to automate builds and deployments across AI, Perception, and Mapping teams.

Before Pony.ai, I contributed to Rocket Mortgage’s mortgage platform and Microsoft’s resilience tooling during internships, gaining experience in full-stack development with Spring Boot, React, and cloud-based CI/CD. I enjoy building observable, high-availability systems and mentoring teammates, and I’ve led side projects like an AI onboarding chatbot and an event-driven pipeline that ground responses in internal docs.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Software Engineer at Pony.ai
July 1, 2025 - November 12, 2025
Developed backend services in Python and Go, providing REST/gRPC APIs for managing machine learning models, coordinating workflow execution, and deploying model updates; built and optimized data storage and caching layers with PostgreSQL and Redis; designed database schemas to track machine learning models, job executions, and artifacts; implemented CI/CD pipelines using Kubernetes-based Argo Workflows, Jenkins, and Bazel; created event-driven pipelines using Kafka and Argo Workflows to handle asynchronous job execution, model validation, and deployment notifications; contributed to optimizing large-scale orchestration performance by introducing parallel task execution and deduplication, reducing deployment time significantly.
Software Engineer Intern at Rocket Mortgage
August 1, 2024 - August 1, 2024
Contributed to the full-stack development of a mortgage management platform using Spring Boot + Java and React + TypeScript in an Agile team; designed RESTful APIs with Spring Data JPA and Redis caching; optimized complex queries and asynchronous processing to reduce response times by ~40%; implemented real-time loan status updates with WebSockets; built UI with Redux, RBAC protections, OAuth/JWT authentication, and optimized asset delivery with lazy loading and CDN; configured CI/CD with CircleCI and AWS deployment.
Software Engineer Intern at Microsoft
October 1, 2022 - October 1, 2022
Designed chaos engineering CLI tools in C#/.NET to test resilience of a real-time monitoring platform; developed fault-injection modules, implemented Strategy and Factory patterns, and built modular components (Connector, Test Runner, Fault Injector, Reporter); created observability dashboards and structured JSON logging; integrated chaos tooling into Azure DevOps pipelines for staged experiments and controlled rollouts.

Education

Master of Science in Computer Engineering at New York University
September 1, 2023 - May 1, 2025

Qualifications

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Industry Experience

Software & Internet