Mid-level Data/ML Engineer specializing in NLP, GenAI, and scalable data pipelines
AI / ML Engineer — NLP & GenAI Specialist5 years experienceMid-LevelHealthcareBiotechnologyInsurance
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About
AI/ML engineer with production experience building LLM-powered document intelligence and customer support systems in healthcare/insurance, emphasizing high-accuracy RAG, long-document processing, and robust monitoring/fallback mechanisms. Also automates and scales ML lifecycle workflows using Apache Airflow and Kubeflow, and partners closely with non-technical operations stakeholders to drive adoption.
Experience
AI / ML Engineer — NLP & GenAI SpecialistAbbott Laboratories
Machine Learning Engineer — Data ScientistLegato Health Technologies
Data Scientist — Python DeveloperThermo Fisher Scientific
Education
Clarkson Universitymaster, Applied Data Science (2025)
Vignan’s Foundation for Science, Technology & Researchbachelor, Computer Science & Engineering (2022)
Key Strengths
Built and deployed a GPT-4 + LangChain RAG document intelligence system for healthcare/insurance documents
Strong focus on reliability for high-stakes domains (grounding answers in approved internal documents to reduce hallucinations)
Designed long-document handling with chunking, metadata tagging, and relevance ranking
Production readiness practices: logging/monitoring of accuracy, latency, failure rates; confidence thresholds and human escalation
Orchestrated end-to-end ML workflows with Apache Airflow (ingestion, validation, training, evaluation, deployment, retraining)
Experience with Kubeflow for ML training, versioning, and multi-environment deployment
Effective collaboration with non-technical stakeholders using outcome-focused communication and iterative feedback
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