Didi Ruhyadi
Software Engineer at PT Bank Syariah Indonesia Tbk.
Special capital Region of Jakarta, Indonesia
Summary
👤
Senior🎓
Top SchoolDidi Ruhyadi is a software engineer with 8 years of experience specializing in production-grade AI and cloud-native systems, currently building digital gold transaction services at PT Bank Syariah Indonesia. He has a strong track record transforming legacy Java monoliths into Spring Boot/Quarkus microservices and migrating workloads onto Kubernetes/OpenShift to accelerate delivery and reliability. Prior roles focused on edge and server AI—optimizing computer vision pipelines with TensorRT, DeepStream, and OpenVINO for low-latency applications like PPE recognition, coconut counting, and license plate recognition. He introduced Docker-first development practices to eliminate environment drift and has integrated AI tools (including Claude) into developer workflows to dramatically boost team productivity. Comfortable across the stack, Didi blends engineering rigor from his Engineering Physics background with hands-on deployment and performance tuning for real-world, safety- and finance-critical systems. An understated strength: he pairs rapid prototyping instincts with disciplined productionization so experiments reliably become scalable services.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering, Engineering Physics, Bachelor of Engineering, Engineering Physics at Universitas Gadjah Mada (UGM)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (59)
pytorch10
3d-object-detection10
deep-learning10
self-driving-car10
autonomous-driving10
jupyter-server9
emotion-recognition7
reproducible-research7
jupyterlab7
facial-recognition7
facial-expression-recognition7
face-recognition7
automation7
python7
openface7
Programming languages (8)
Github contributions (5)
ruhyadi/yolo3d-lightning
Aug 2022 - Oct 2022
YOLO3D: 3D Object Detection with YOLO
Contributions:4 releases, 55 commits, 10 PRs in 1 month
3d-object-detection
danilhendrasr/semi-automated-labeling
May 2022 - Jul 2022
Project by Nodeflux's Team B Tech Interns to automate some parts of the dataset labeling process.
Contributions:1 review, 95 commits, 37 PRs in 1 month
pythoninternsinternshipdataset-labelingparts
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