Open to opportunities

Sam Naqvi

@samnaqvi

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Senior AI/ML engineer and architect specializing in production-grade LLMs, RAG, and scalable MLOps platforms.

United States

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What I'm looking for

I seek senior roles building scalable, production AI/ML platforms or generative AI systems with strong MLOps, responsible AI, and cross-functional leadership, in a collaborative, impact-driven environment.

I am a Senior AI/ML and Data Scientist with 11+ years delivering production-grade machine learning, generative AI, and retrieval-augmented systems across healthcare, finance, and enterprise domains.

I design and build scalable, cloud-native AI platforms on Kubernetes and multi-cloud environments (AWS, Azure, GCP), optimizing inference with LoRA, DeepSpeed, ONNX, and TensorRT to reduce cost and latency.

I lead cross-functional initiatives from research prototyping to production—implementing MLOps best practices, CI/CD, model registry, retraining pipelines, observability, and responsible AI controls to ensure compliance and reliability.

I have driven measurable impact through RAG pipelines, multi-agent orchestration, and high-throughput prediction systems, mentoring teams and operationalizing AI to translate complex business problems into scalable, cost-efficient solutions.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

Pixelette Technologies Ltd

Mar 2022 - Present (3 years 11 months)

Directed enterprise AI strategy and operationalized LLMs, multimodal models, and RAG systems in production, reducing hallucinations by 40% and cutting inference costs ~30% through optimization and platformization.

RAG Faiss Pinecone Kubernetes Databricks DeepSpeed Onnx MLOps

Senior MLOps Engineer

MindsDB

Feb 2019 - Feb 2022 (3 years)

Built scalable ETL and feature pipelines and deployed real-time inference systems with 80ms latency, improving model performance 15–22% and enabling high-throughput production workloads.

Pyspark Databricks Kubernetes Ray Kubeflow MLFlow GitHub Actions SHAP LIME

Senior Data Scientist

Feedzai

Dec 2016 - Jan 2019 (2 years 1 month)

Engineered transformation pipelines and forecasting and anomaly detection models, improving planning accuracy by 20–30% and supporting scalable batch and streaming analytics.

Pyspark Airflow Azure Data Factory Forecasting Anomaly Detection A B Testing Causal Inference Segmentation

Machine Learning Engineer

Uniphore

Feb 2015 - Nov 2016 (1 year 9 months)

Built ML and data pipelines for voice-intent recognition and developed REST inference APIs with CI/CD practices, improving uptime and release consistency for enterprise contact-center solutions.

Azure Data Factory Airflow SQL REST APIs CI CD