Open to opportunities

shimrah ken

@shimrahken

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Senior AI/ML engineer specializing in NLP, MLOps, and production-ready AI infrastructure.

United States

Message

What I'm looking for

I seek senior roles building production ML systems, emphasizing scalable MLOps, NLP, cloud-native deployment, cross-functional collaboration, and measurable product impact.

I am a Senior AI/ML Engineer with 12+ years designing and deploying production-grade machine learning and deep learning systems across NLP, computer vision, and generative models.

I have architected scalable training and inference pipelines using Airflow, MLflow, Docker, Kubernetes, Spark and Dask, and optimized latency and throughput for real-time audio and vision applications.

My work spans cloud-native AI development on AWS SageMaker, GCP Vertex AI, and Azure ML, plus model monitoring, drift detection, and experiment tracking with Prometheus and MLflow to ensure reliable production performance.

I collaborate cross-functionally with DevOps, data engineers, and product teams to embed robust ML APIs, build internal tooling for annotation and reproducibility, and deliver measurable product improvements through A/B testing and rigorous evaluation.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

AssemblyAI

Jan 2021 - Present (4 years 8 months)

Architected and deployed production-grade speech ML models and NLP pipelines, reducing inference latency and enabling real-time audio classification and fraud detection at scale. Built CI/CD training workflows and model monitoring leading to improved reliability and reproducibility of audio intelligence products.

PyTorch TensorFlow Transformers Airflow MLFlow Docker Kubernetes Spark Model Monitoring

Data Engineer

Kore.ai

May 2016 - Dec 2020 (4 years 7 months)

Developed and maintained scalable ETL pipelines and data models for conversational AI, improving intent classification accuracy and data reliability through feature engineering and automated validation. Implemented anomaly detection and reporting dashboards to surface production issues in real time.

Python SQL Apache Spark ETL Data Validation Dashboards

Machine Learning Engineer

DataRobot

Mar 2013 - Apr 2016 (3 years 1 month)

Built and deployed deep learning and ML pipelines for image classification and AutoML features, enabling scalable model management and RESTful inference services. Implemented monitoring and alerting for drift and latency and contributed to hyperparameter optimization capabilities.