Open to opportunities

Daniel Hafeez

@danielhafeez

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Senior AI/ML engineer specializing in scalable MLOps and production systems that deliver measurable business impact.

United States

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What I'm looking for

I’m seeking a senior engineering role focused on scalable MLOps, cloud-native ML deployment, and mentoring teams in a collaborative, growth-oriented environment.

I’m a Senior AI/ML Engineer with 8+ years building production-grade systems, specializing in high-scale infrastructure and MLOps to bridge research and business value. I lead migrations, mentor teams, and focus on pragmatic solutions that reduce costs and improve availability.

I’ve led migrations from third-party platforms to native cloud environments, redesigned pipelines for 99.9% availability, and implemented automated monitoring and CI/CD to cut operational overhead. My hands-on work spans model development, deployment with SageMaker, PyTorch, scikit-learn, and building resilient data pipelines using Python, SQL, Kafka, and Docker.

I’m passionate about clear communication, continuous learning, and mentoring — I guide engineers and students while staying current with LLMs, LangChain, RAG, embeddings, and production ML tooling to deliver reliable, scalable AI solutions.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

IStream Solutions

Oct 2023 - Present (2 years 4 months)

Led migration of Hive and Presto jobs to AWS EMR, redesigning architecture for 99.9% availability and reducing daily operational overhead while improving pipeline performance and lowering compute costs.

Python Sagemaker S3 EC2 PyTorch SQL Pandas Docker Kubernetes scikit learn

Senior AI/ML & Data Engineer

DayBreak

Mar 2019 - Sep 2022 (3 years 6 months)

Developed ML systems (XGBoost, scikit-learn) to predict deployment failures and built automated data pipelines and graph-based alert analysis, reducing downtime and accelerating incident resolution.

Python XGBoost scikit learn SQL AWS EC2 S3 CI CD Alerting Git

Junior Data Engineer

BlueLabel Labs

Dec 2017 - Feb 2019 (1 year 2 months)

Engineered backend services and RESTful APIs and built real-time Kafka data pipelines to operationalize ML models and enable reliable production predictions for AI-driven features.