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Venkatarama Sai Teja Dasarathi

Mid-level Machine Learning Engineer specializing in deep learning and generative AI

MetLifeUniversity of Alabama at BirminghamSan Jose, CA5 Years ExperienceMid LevelWorks On-Site

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About

ML/NLP engineer with hands-on experience building production systems for unstructured insurance claims and customer data linking. Delivered measurable impact at scale (millions of documents), combining transformer-based NLP, vector search (FAISS/Pinecone), and human-in-the-loop validation, and has strong production workflow/observability practices (Airflow, AWS Batch, Grafana/Prometheus).

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Key Strengths

  • Built NLP pipeline for insurance claims at million-document scale
  • Reduced manual review time by 40% via document classification + entity extraction
  • Improved data retrieval accuracy by 30% using semantic clustering/vector search
  • Designed hybrid entity resolution (rules + ML similarity) achieving 95%+ matching accuracy
  • Improved semantic search relevance ~20% by fine-tuning domain BERT + Pinecone embeddings
  • Production-grade workflow engineering (Airflow/Prefect, idempotent tasks, CI/CD, monitoring)
  • Cut ETL/ML pipeline processing time by 60% by modularizing and orchestrating with Airflow
  • Implemented robust post-deployment monitoring with drift/latency alerts and fallback/retraining

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Experience

Machine Learning EngineerMetLife · Jan 2025 – Present
Machine Learning EngineerHexaware Technologies · Jan 2020 – Jul 2023

Education

University of Alabama at Birminghammaster, Computer Science (2025)
Kakatiya Institute of Technology and Sciencebachelor, Computer Science (2021)

Skills

PythonRSQLMATLABTensorFlowKerasPyTorchScikit-learnPandasNumPyNLTKOpenCVMatplotlibSeabornSciPy

Languages

English

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Venkatarama Sai Teja DasarathiMid-level Machine Learning Engineer specializing in deep learning and generative AI