Jingxiao Cai, Ph.D.

About

I build backend/runtime platforms for production ML systems. At Oracle HeatWave, I have worked across distributed execution, secure communication, concurrency and process control, and control-plane reliability for AutoML and GenAI services. Earlier, I was first inventor on Adaptive Sampling, but my core profile today is distributed systems and runtime engineering.

Experience

Principal Engineer, HeatWave ML Infrastructure

Oracle | MySQL HeatWave AutoML/GenAI

Redwood City, CA

Oct 2018 – Present

Helped build and harden the backend/runtime platform behind HeatWave ML as it evolved from early productization into a production cloud service.
Built secure communication and trust paths across the ML runtime, spanning plugin-to-driver transport, worker-to-worker mTLS, and certificate hardening.
Built runtime and control-plane reliability paths for distributed ML workloads, including concurrency and process control, abort handling, cluster health, and elasticity.
Served as a go-to systems engineer for hard runtime and dataplane failures, driving RCA and reliability hardening across backend/runtime and control-plane paths.

Data Scientist → Senior Statistical Analyst

Walmart

Bentonville, AR

Jul 2017 – Sep 2018

Built talent recommendation engine using Random Forest to optimize hiring for Store/Assistant Managers, reducing vacancy impact.
Created internal wiki on data science techniques (RegEx, imputation, Linux scripting).

Graduate Student Research Assistant

University of Oklahoma

Norman, OK

Aug 2012 – Jun 2017

Developed ML algorithms (ANN/Random Forest) for radar turbulence detection in collaboration with Hong Kong Observatory.
Optimized GPU-parallelized radar algorithms (Super-Resolution, Pulse Compression) on Nvidia Jetson.
Implemented target tracking for wind turbine clutters.

Skills

Distributed Systems Architecture ML Infrastructure Runtime & Control Plane Radar & Sensor Fusion C++ Python SQL Concurrency & Process Isolation Secure Protocol Design FedRAMP / FIPS Dask NVIDIA CUDA

Education

Ph.D. in Electrical Engineering

University of Oklahoma

Dec 2017

Focus: Radar Signal Processing, GPU-accelerated signal processing

B.Eng in Electronics and Information Engineering

Sichuan University, China

2012

Publications

Oracle AutoML: A Fast and Predictive AutoML Pipeline

A Yakovlev, HF Moghadam, A Moharrer, J Cai, N Chavoshi, V Varadarajan, SR Agrawal, T Karnagel, S Jinturkar, N Agarwal

Proceedings of the VLDB Endowment, Vol 13, No 12, pp. 3166-3180, Aug 2020

Diagnosis and Classification of Typhoon-Associated Low-Altitude Turbulence Using HKO-TDWR Radar Observations and Machine Intelligence

J Cai, Y Zhang, RJ Doviak, Y Shrestha, PW Chan

IEEE Transactions on Geoscience and Remote Sensing, 2019

General Purpose Graphic Processing Unit Implementation of Adaptive Pulse Compression Algorithms

J Cai, Y Zhang

Journal of Applied Remote Sensing, Vol 11, Issue 3, 035009, 2017

Micro-Doppler Radar Signature Identification within Wind Turbine Clutter Based on Short-CPI Airborne Radar Observations

R Nepal, J Cai, Y Zhang

IET Radar, Sonar & Navigation, Vol 9, Issue 9, pp. 1268-1275, 2015

Acceleration of Advanced Radar Processing Chain and Adaptive Pulse Compression Using GPGPU

J Cai, Y Zhang, F Kong, L Li

SpringSim-HPC, 2016

Real-Time Radar Signal Processing Using GPGPU

F Kong, Y Zhang, J Cai, RD Palmer

SPIE Defense + Security, 2016

Concept Design and Feasibility Studies for a Ka-band, UAS-based Cloud Sensing Radar

J Cai, RK Mirza, Y Zhang, D Delene, JS Tilley

AMS 37th Conference on Radar Meteorology, 2015

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