Junior AI/ML Software Engineer specializing in LLMs and MLOps
RemoteSoftware Engineer (AI/ML)3 years experienceJuniorHealthcareHealthcare ITInsurance
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About
Built and productionized an AI-native, agentic appeals decisioning system for health insurance operations, automating 500k+ scanned appeals/year. Delivered measurable impact by cutting review time from 12–15 minutes to ~3 minutes and auto-resolving ~85% of cases with strong auditability, evaluations, and human-in-the-loop guardrails, deployed as containerized microservices on Azure AKS.
Experience
Software Engineer (AI/ML)Cigna
Research InternUniversity of California, Los Angeles
AI Research InternOntario Tech University
Undergraduate ResearcherInternational Institute of Information Technology
Education
University of Southern California, Viterbi Engineering Schoolmaster, Computer Science (2024)
International Institute of Information Technology Bhubaneswarbachelor, Computer Science and Engineering (2022)
Key Strengths
Owned and shipped end-to-end AI decisioning workflow (frontend, backend, data, infra) on Azure AKS
Scaled production automation for 500k+ health insurance appeals/year
Delivered major ops efficiency gains (review time reduced from 12–15 minutes to ~3 minutes)
Achieved high automation rate with human-in-the-loop guardrails (~85% auto-resolved)
PythonC#C++JavaJavaScriptSQLReactNext.jsFlaskTerraformDockerKubernetesAzure Kubernetes Service (AKS)Amazon Elastic Kubernetes Service (EKS)GitHub Actions