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Venkatarama Sai Teja Dasarathi
Mid-level Machine Learning Engineer specializing in deep learning and generative AI
San Jose, CAMachine Learning Engineer5 years experienceMid-LevelFinancial ServicesInsuranceInformation Technology & Services
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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).
Experience
Machine Learning EngineerMetLife
Machine Learning EngineerHexaware Technologies
Education
University of Alabama at Birminghammaster, Computer Science (2025)
Kakatiya Institute of Technology and Sciencesbachelor, Computer Science (2021)
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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