AI/ML Engineer (MLOps-minded) • Backend Builder • Robotics (Pepper)
I build production-oriented AI systems—from device/real-time inputs to APIs and cloud deployments. My edge: Robotics + Cloud (GCP) + Backend with a focus on reliability and clean delivery.
- Robotics (Pepper): face recognition, onboarding (register), interaction flow (device → API → response)
- Production AI on GCP: Cloud Run services, GCS-native runtime (no key.json), Vertex AI usage
- Backend for ML: Flask/FastAPI, REST APIs, caching, structured outputs, logging-first mindset
- Realtime-ish pipelines: Redis as temporary store, keyframe optimization (PNG/hash) for efficiency
I enjoy turning ambiguous problems into simple, scalable products—especially in high-trust, public-facing settings.
- 🤖 Pepper Robotics — face recognition + register/recognize flow + greeting pipeline
- ☁️ Cloud Run AI API — audio(base64) → transcription → LLM response → TTS
- 🎥 Video Analysis Pipeline — local processing + Redis temp storage + keyframe optimization
"Ship real systems. Measure what matters. Keep learning." ✨