Open to opportunities

Mahmood A

@mahmooda

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Senior AI/ML engineer specializing in generative AI, scalable ML systems, and MLOps.

United States

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What I'm looking for

I seek roles building production-scale generative AI and ML systems with strong MLOps practices, collaborative teams, and opportunities to mentor and drive impact.

I am a Senior AI/ML Engineer with eight years of experience building end-to-end, scalable machine learning systems, specializing in generative AI, deep learning, and large-scale data pipelines. I focus on delivering production-ready models and services, leveraging PyTorch, TensorFlow, Databricks, Spark, and cloud platforms to drive measurable business outcomes.

Throughout my career I have designed and deployed Generative AI platforms, unified data access layers with PySpark and Spark SQL, and implemented MLOps practices on Google Cloud Platform and Databricks. I have led cross-functional teams, mentored engineers, and optimized solutions for cost, performance, and reliability while supporting enterprise clients.

My projects include real-time feature engineering and model serving, high-throughput embedding pipelines for semantic search, and multiple computer vision and NLP systems deployed as microservices. I bring a pragmatic, results-driven approach and a commitment to technical excellence and continuous improvement in AI/ML delivery.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Bahaji Consultant

Jul 2022 - Present (3 years 3 months)

Led design and deployment of a generative AI platform on GCP, launching enterprise features and optimizing cost/performance while building unified Spark-based data access and containerized model-serving microservices.

PyTorch TensorFlow Pyspark GCP)Docker REST APIs PostgreSQL R

Senior Machine Learning Engineer

Freelancer

Oct 2020 - Jun 2022 (1 year 8 months)

Architected real-time feature engineering and model-serving platforms with Spark Streaming and MLOps on GCP/Databricks, reducing latency to milliseconds and improving recommendations by 30%.

Pyspark Databricks PyTorch MLOps GCP)PostgreSQL XGBoost

AI/ML Engineer

Expert System Solutions

Mar 2017 - Sep 2020 (3 years 6 months)

Engineered scalable Databricks/Spark data pipelines and trained deep learning and embedding models (PyTorch, Keras, TensorFlow) to support recommendations and real-time inference at terabyte scale.