MLOps Engineer | Building Scalable ML Architectures | Kubernetes, AWS, Docker, Python
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hm-fashion-recommender
hm-fashion-recommender PublicScalable Fashion Recommendation Engine using FastAPI & Qdrant. Features low-latency vector search, Redis caching strategy, and modular microservices architecture utilizing Docker & CI/CD.
Python 4
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nyc-taxi-mlops
nyc-taxi-mlops PublicAchieved 85x inference speedup (~3ms latency) using Redis & ONNX. Production-grade MLOps pipeline featuring secure Microservices (FastAPI), Multi-Stage Docker optimization, and Kubernetes deployment.
Python 2
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