Kai Shen

Led Golang core Risk Rating System (RRS) redesign & performance tuning, boosting resilience and throughput for high-volume payments. Mentored team on technical design, resource allocation, and sprint delivery for mission-critical risk infrastructure. Pioneered AI coding workflows (Claude Code & Codex) into SDLC, establishing AI pairing to accelerate feature delivery & test coverage.

Architected multi-tenant Golang microservices (User, Auth, Access) using Clean Architecture & Wire, establishing modular patterns. Implemented enterprise Keycloak auth & fine-grained RBAC; extended the gocloak SDK with patched logic and new admin APIs. Engineered high-performance gRPC & OpenAPI REST APIs, optimizing PostgreSQL queries via SQLboiler to cut latency. Built real-time AI/CV inference pipelines, integrated SAP ERP, and deployed on Kubernetes for stable releases.

Tech Stack: Python, Linux, 3D Robotics Simulation, Motion Planning, Computer Vision Integration • Developed Python/Linux backend components for a 3D robot detector simulator, virtualizing hardware feeds to decouple vision algorithm development from physical robotics testing. • Built virtual motion planning and simulation modules, enabling automated software-defined testing loops and accelerating feature validation cycles across cross-functional teams.

Tech Stack: BODAS, Real-Time Embedded Systems, Sensors & Actuators Signal Processing, Scrum • Developed real-time control logic using BODAS for road-milling machinery, optimizing sensor/actuator signal processing and resolving critical timing precision issues. • Served as Scrum Master for a distributed agile team, facilitating sprint ceremonies and conducting on-site machine calibration for real-world control verification.

Tech Stack: C, Kinematics Algorithms (Forward/Inverse), Motion Control, HMI, Embedded C • Developed C-based backend software and kinematics algorithms (forward/inverse) for laser-cutting CNC controllers, improving multi-axis motion planning precision and HMI responsiveness.