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Shanmukha Koganti
Mid-level AI/ML Engineer specializing in recommender systems and edge computer vision
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About
ML/AI engineer with production experience at Shopify and Intel, building a deep learning product ranking system that lifted add-to-cart ~14% and serving real-time similarity search via FAISS+Redis under <20ms latency at massive scale. Also deployed computer vision models to 100+ retail edge locations using Docker/Ansible/k3s with zero-downtime rollouts, and applies strong MLOps practices (A/B testing, canary/shadow, observability) plus performance optimization (OpenVINO, INT8).
Experience
Education
Key Strengths
- Delivered ~14% lift in add-to-cart rate via personalized product ranking at Shopify
- Built and served real-time vector retrieval (FAISS + Redis) achieving <20ms latency at scale (millions of visits)
- Scaled deployment of CV models to 100+ retail store edge locations with zero-downtime rollout automation (Docker/Ansible/k3s)
- Strong MLOps rigor: A/B testing, canary/shadow releases, and production observability (Prometheus/Grafana)
- Performance optimization expertise (OpenVINO, INT8 quantization) cutting latency ~45%
- Effective cross-functional collaboration translating model behavior/metrics into business KPIs and fairness considerations
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