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Tariq Farooq

@tariqfarooq2

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Lead AI/ML engineer specializing in Generative AI, LLMs, RAG, and production MLOps.

United States

Message

What I'm looking for

I seek senior/lead roles driving production GenAI and MLOps at companies valuing scalable, ethical AI, cross-functional collaboration, and mentorship.

I am a Lead AI / Machine Learning Engineer with over 10 years building, scaling, and deploying production-grade AI systems across healthcare, enterprise automation, and cloud platforms.

I design end-to-end ML architectures covering data ingestion, feature stores, model training, CI/CD, deployment, monitoring, and continuous retraining, and I have led teams to deliver reliable, ethical, and scalable AI products.

My hands-on work includes LLM-based solutions (RAG pipelines, internal copilots, document intelligence), distributed training and inference with PyTorch and TensorFlow, and significant latency, throughput, and accuracy improvements in production.

I mentor engineers, run architecture and code reviews, and partner with cross-functional teams to align AI strategy with business goals while maintaining model governance, explainability, and regulatory readiness.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

Petuum

Apr 2022 - Present (3 years 9 months)

Led architecture, development, and deployment of large-scale GenAI and ML platforms, productionized LLM-based RAG pipelines and copilots, and implemented MLOps practices that improved latency, throughput, and accuracy by 25%+.

Generative AI LLM RAG MLOps PyTorch TensorFlow Distributed Training CI CD For ML Model Monitoring

Senior Machine Learning Engineer

CognitiveScale

Jul 2017 - Dec 2021 (4 years 5 months)

Designed and delivered enterprise ML solutions (NLP, CV, predictive analytics) on AWS SageMaker and Azure ML, implemented explainability and governance frameworks, and led production deployments and A/B testing for finance and healthcare clients.

NLP Computer Vision AWS Sagemaker Explainability Frameworks CI CD Containerization A B Testing

Machine Learning Engineer

Envisagenics

Mar 2015 - Jul 2017 (2 years 4 months)

Developed deep learning models for genomic and transcriptomic datasets for RNA splicing and biomarker discovery, automated preprocessing and experiment workflows reducing manual effort by 40%, and supported AI-driven drug discovery.

Genomics TensorFlow Deep Learning Bioinformatics Model Evaluation