Junior Machine Learning Engineer specializing in NLP and multimodal transformers
Bay Area, CAMachine Learning Engineer3 years experienceJuniorArtificial IntelligenceHealthcareHealthcare IT
ScreenedIdentity Verified
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About
Built and deployed LLM-powered agentic chatbot and text-to-SQL systems using LangGraph/LangChain (and Bedrock), structuring workflows as DAGs with planning/replanning and validation to improve tool-calling reliability and reduce hallucinations. Operates production feedback loops with online/offline metrics, drift detection, and LangSmith-based evaluation pipelines, and regularly partners with business stakeholders and clinicians using slide decks and visual charts.
Experience
Machine Learning EngineerAltea Technology
ML Engineer (Internship)Mayo Clinic
ML Engineer (Internship)Sumitomo Pharma America
Deep Learning ResearcherUniversity of Denver
Education
University of Denvermaster, Computer Engineering (2024)
Isfahan University of Technologybachelor, Computer Engineering (2022)
Key Strengths
Designed production LLM agent workflows using DAG/LangGraph with planning, replanning, and validation nodes
Reduced hallucinations/improved robustness via structured tool-calling and validation steps
Built monitoring and evaluation pipelines using online/offline metrics and production feedback loops
Drift monitoring (concept/data drift) using input distribution and X-Y relationship tracking
Text-to-SQL implementation using LangChain with nested agents, syntax checks, and synonym/keyword handling
Uses a broad evaluation toolkit (BLEU/ROUGE, hallucination scoring, precision/recall, human-in-the-loop)
Experience collaborating with non-technical stakeholders (business, clinicians/doctors) using visual communication
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PythonCC++VerilogMATLABRSQLSASNatural Language Processing (NLP)Deep LearningTransformersMultimodal Foundation ModelsVision-Language Models (VLM)Text-to-SQLLangChain