Open to opportunities

Sadaf Raye

@sadafraye

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Lead AI Platform Engineer specializing in GenAI, LLMs, MLOps, and production-grade scalable AI platforms.

United States

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What I'm looking for

I seek senior roles building production GenAI/ML platforms where I can lead MLOps, ensure compliance, optimize serving, and empower product teams.

I am a Lead AI Platform Engineer with 8+ years designing, deploying, and operating production-grade AI systems across LLMs, RAG pipelines, and cloud-native MLOps platforms. I build scalable, reliable, and compliant AI platforms—optimizing model serving, reducing inference costs, and enabling self-service ML for enterprise teams.

My work spans LangChain-based RAG architectures, vector search, agentic systems with human-in-the-loop workflows, and Responsible AI governance aligned to HIPAA/GDPR. I have led platform engineering, mentored engineers, and delivered measurable improvements in accuracy, latency, deployment throughput, and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Platform Engineer

Current

Apixio

Mar 2021 - Present (4 years 11 months)

Led development of enterprise AI platforms, deploying LLMs, RAG pipelines, and multimodal systems; reduced hallucinations ~40% and cut GPU inference costs ~30% while enabling continuous training and robust governance for HIPAA/GDPR environments.

Kubernetes Pinecone MLFlow Triton Onnx TensorRT Prometheus MLOps RAG

Senior MLOps Engineer

Cogito Corporation

Sep 2017 - Feb 2021 (3 years 5 months)

Designed and scaled end-to-end MLOps pipelines on AWS/GCP processing multi-terabyte datasets; improved model performance 15–22% and delivered low-latency real-time inference (~80ms) at scale.

Apache Spark Pyspark Databricks Kafka Kubernetes MLFlow Kubeflow CI CD Model Monitoring

Senior Data Scientist

Dwolla

May 2016 - Aug 2017 (1 year 3 months)

Built PySpark-based ETL and analytics pipelines for fraud detection and behavioral analytics, improving planning and risk accuracy by 20–30% and enabling robust A/B testing and causal analyses.

Pyspark Airflow Forecasting Anomaly Detection A B Testing Causal Inference Azure Data Factory Kafka

Machine Learning Engineer

Uniphore

Jan 2014 - Apr 2016 (2 years 3 months)

Developed ML pipelines for voice and intent recognition, built ingestion/preprocessing workflows and REST inference APIs, improving system reliability and production uptime.