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Abinesh Haridoss
Mid-level AI/ML Engineer specializing in LLM evaluation and agentic AI systems
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Healthcare-focused full-stack and AI engineer who built prior authorization and drug lookup systems combining Python, React/TypeScript, Kubernetes, and LLMs on Vertex AI/Gemini. Their work automated parts of clinical review workflows, introduced human-in-the-loop controls for high-risk cases, and reportedly delivered about $1.2M in annual savings plus roughly 32% faster first decisions.
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Key Strengths
- Built end-to-end healthcare prior authorization products
- Full-stack architecture across Python APIs and React/TypeScript frontend
- Applied LLMs to clinical and prior authorization workflows
- Strong healthcare domain knowledge in PA, drug lookup, and ICD mapping
- Designed scalable systems with Redis, BigQuery, Bigtable, and Kubernetes
- Improved throughput with queueing and batching under peak load
- Production AI evaluation and monitoring using golden sets, F1, precision, and OpenTelemetry
- Delivered measurable cost savings of about $1.2M annually
- Reduced manual reviewer workload through rules and AI-assisted automation
- Drove first-decision time savings of about 32%
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