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Khuram Ismaeel

@khuramismaeel

Message

Senior AI/ML engineer delivering scalable cloud-native machine learning solutions.

United States

Message

What I'm looking for

I seek roles building and scaling cloud-native AI/ML systems, focusing on production deployments, MLOps, cross-functional collaboration, mentorship, and measurable business impact.

I am a Senior AI/ML Engineer and Machine Learning Architect with over nine years of hands-on experience building and deploying machine learning models across healthcare, automotive, and retail domains.

I specialize in end-to-end ML pipelines, from data preprocessing and feature engineering to model training, deployment and monitoring, with proven work deploying models on AWS, GCP and Kubernetes.

I have delivered production-grade solutions including predictive analytics, anomaly detection, recommendation systems, real-time streaming inference with Kafka/Spark and NLP/LLM integrations using BERT and related frameworks.

I mentor engineers, collaborate closely with business stakeholders, and focus on automation, scalability and measurable business impact through well-architected AI systems.

Experience

Work history, roles, and key accomplishments

Senior AI/ML Software Engineer

SoftServe

Mar 2022 - Dec 2025 (3 years 9 months)

Led design and deployment of end-to-end ML pipelines and cloud-native AI solutions for healthcare and automotive clients, improving predictive maintenance and operational insights through real-time processing and model integration.

Python TensorFlow PyTorch AWS GCP Kubernetes Kafka Docker Spark fastAPI

AI/ML Software Engineer

Illumy

Aug 2017 - Feb 2022 (4 years 6 months)

Designed and deployed ML models and data pipelines for retail and e-commerce clients, delivering customer segmentation, recommendation engines, and NLP-driven solutions that improved engagement and forecasting accuracy.

Python TensorFlow PyTorch Kafka Spark BERT REST APIs Docker

Web Developer

Upwork

Sep 2016 - Jul 2017 (10 months)

Delivered end-to-end AI solutions and web integrations for small businesses, including demand forecasting and churn prediction models, plus REST API and frontend integrations to expose model outputs to clients.