S
Sarat Alman
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Dallas, Texas, United States
Résumé
Jobs
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Senior AI/ML EngineerClarify HealthMar 2021 - Current (5 years 8 months)• Built and deployed LLM-driven RAG pipelines with LangChain, FAISS, and Pinecone, cutting physician
documentation time by 50% across 10M+ EHR records.
• Created real-time anomaly detection pipelines with Kafka and Flink, incorporating SHAP explainability for
HIPAA/PCI-DSS compliance and ensuring rapid inference latency.
• Implemented model observability and drift detection with Prometheus, Grafana, and Datadog, automating
retraining triggers via CI/CD pipelines to ensure high uptime.
• Deployed predictive models for healthcare resource allocation and patient outcome forecasting using XGBoost,
Spark MLlib, and MLflow.
• Worked with clinical teams to uphold responsible AI practices, ensuring compliance- AI/ML EngineerLumenaltaAug 2018 - Feb 2021 (2 years 7 months)• Fine-tuned LLaMA-3 with LoRA and Hugging Face PEFT on healthcare datasets, deploying on AWS, Azure,
and GovCloud via Docker and Kubernetes with REST/FastAPI/GraphQL endpoints.
• Developed learning-to-rank systems and hybrid search pipelines (Elasticsearch, vector search, rank fusion) for
intelligent document retrieval in insurance and clinical processing.
• Built scalable data pipelines and centralized feature stores with PySpark, Airflow, dbt, Snowflake, and Redshift,
speeding up model training and real-time inference for multiple teams.
• Created and operationalized automated evaluation frameworks and A/B testing infrastructure; tracked
experiments with MLflow for model versioning, drift detection, and - KJunior Machine Learning DeveloperKPG99 INCDec 2016 - Jul 2018 (1 year 8 months)• Built ETL pipelines using Apache Airflow and dbt integrating healthcare data sources into Snowflake and
Redshift data warehouses for ML training and downstream analytics.
• Developed NLP pipelines (Hugging Face Transformers, spaCy) for sentiment analysis and ticket classification,
automating enterprise workflows and improving classification accuracy by 28%.
• Supported cloud deployments on AWS Lambda and EC2 with GitHub Actions CI/CD; tracked ML experiments
and model versions with MLflow for reproducibility and auditability.
• Maintained HIPAA-compliant data pipelines and secure API integrations; wrote complex SQL queries for
patient cohort extraction supporting 3 concurrent analytics studies.
• App
Education
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- BBachelor of Science in Computer Science
Projects (professional or personal)
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- HHippoRAG: Clinical Trial MatcherMatched unstructured EHRs to clinical trial criteria across 200k patient records using LangChain, GPT-4, Pinecone,
and FHIR; lowered patient recruitment time by 60%. - HHybrid Search & Learning-to-Rank PipelineAssisted hybrid retrieval system (lexical + dense vector, Elasticsearch, reciprocal rank fusion) with LightGBM-based
LTR model; instrumented CTR/conversion feedback loops improving nDCG by 22%. - QQuantized LLaMA-3 (7B) Inference OptimizationApplied GPTQ quantization and deployed on Triton/vLLM; reduced per-token latency from 2s to 300ms on a single T4
GPU, cutting annual GPU costs by $150k. - EEnterprise RAG Pipeline for Insurance Document ProcessingPlanned scalable RAG pipeline using LangChain, FAISS, and AWS Textract to automate unstructured clinical and
insurance document extraction at enterprise scale. - RReal-Time Fraud Detection System with MLOps ObservabilityDeployed XGBoost ensemble on Kafka/Flink streaming architecture processing 15,000 transactions/sec with SHAP
explainability and Prometheus/Grafana dashboards; prevented $2M+ monthly fraudulent volume. - CClinical AI Agent for Patient Readmission PreventionBuilt a LangGraph-based multi-agent RAG system with EHR integration and human-in-the-loop validation for hospital
readmission prevention; lessened readmission prediction latency by 60%.