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Junaid Thompson

@junaidthompson

Senior Machine Learning Engineer specializing in AI, deep learning, and production-grade ML systems.

United States
Message

What I'm looking for

I seek senior ML roles building scalable, production ML/AI systems with strong MLOps, cross-functional collaboration, and responsible AI practices.

I am a Principal Machine Learning Engineer and Senior Data Scientist with deep expertise in AI, ML, and data science, focused on building production-grade models that solve complex business problems.

I design, train, and deploy supervised, unsupervised, and reinforcement learning systems using TensorFlow and PyTorch, and I lead projects in NLP, recommendation systems, and computer vision to improve user engagement and operational efficiency.

My experience spans cloud ML platforms (Vertex AI, SageMaker), MLOps practices, scalable data engineering, and model optimization for GPUs/TPUs, and I have driven improvements in low-latency trading systems, medical-device analytics, and enterprise knowledge extraction.

I am committed to responsible AI, mentorship, and cross-functional collaboration, and I build monitoring, model-drift detection, and governance tooling to ensure reliable, compliant ML deployments.

Experience

Work history, roles, and key accomplishments

GS
Current

Lead Machine Learning Engineer

Global AI Solutions

Mar 2021 - Present (4 years 7 months)

Design and optimize end-to-end ML workflows on Vertex AI, lead foundation-model training and deployment efforts, and build monitoring tools to detect model drift and ensure regulatory compliance.

VA

Senior Machine Learning Engineer

Vision Core Analytics

Jun 2019 - Jan 2021 (1 year 7 months)

Built low-latency predictive analytics and data ingestion pipelines for high-frequency trading, led CI/CD and experiment-tracking adoption, and improved strategy performance using Transformer-based market models.

NL

Machine Learning Engineer

NeuroByte Labs

Jun 2016 - May 2019 (2 years 11 months)

Designed personalized ML models for early detection of neurological anomalies from wearable biosensors, accelerated training with distributed processing, and deployed semi-supervised techniques to reduce labeled-data needs.

Education

Degrees, certifications, and relevant coursework

UT

University of Engineering and Technology

Bachelor of Science, Computer Science

Bachelor's degree in Computer Science from the University of Engineering and Technology.

Tech stack

Software and tools used professionally

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Junaid Thompson - Lead Machine Learning Engineer - Global AI Solutions | Himalayas