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Parth Vadera
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
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About
ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.
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Key Strengths
- Led multimodal recommendation system connecting structured + unstructured data for feed relevance
- Productionizing transformer/embedding retrieval systems with scalable real-time inference (SageMaker/Lambda, Azure ML, Kubernetes)
- End-to-end entity resolution using rule-based + embedding similarity + probabilistic linkage with rigorous validation
- Built evaluation frameworks with precision/recall, F1, clustering metrics, error analysis, and ablation studies
- Improved search relevance with vector store + transformer embeddings and lightweight fine-tuning; double-digit hit-accuracy lift and reduced latency at million-user scale
- Designed maintainable Python data workflows with modular pipelines, CI/CD, monitoring, and clear schemas
- Handled real-time + batch integration challenges via schema versioning, automated tests, and observability/rollback
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