Satvik Daga
Lead Data Scientist
I architect production-grade AI/ML systems at scale — from recommendation engines serving millions to MLOps infrastructure on Kubernetes.
NOW
- Building: ML-powered product discovery
- Scaling: recommendation systems for e-commerce
- Exploring: LLM applications in search
Updated 2026-04-16
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Intelligent Search System
Semantic search powered by Hugging Face transformers and LangChain with Elasticsearch as a vector database, handling 100K+ daily queries with 40% fewer irrelevant results.
ML Infrastructure Pipeline
End-to-end MLOps platform on AWS EKS with Terraform infrastructure-as-code and Argo CD GitOps, achieving 99.9% uptime and 50% faster deployments.
Advanced Recommendation Engine
Dual recommender systems combining collaborative filtering and graph embeddings, serving 2M+ monthly active users with 20% engagement lift.
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