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Shoaib User

@shoaibuser1

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Lead Generative AI Architect driving enterprise LLM/ML Ops and scalable AI platforms.

United States

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What I'm looking for

I seek a senior/lead role building production-grade GenAI platforms with strong MLOps, multi-cloud deployment, cross-functional collaboration, and responsible AI governance.

I am a Lead Generative AI Architect with 10+ years of progressive experience driving digital transformation from foundational data science to strategic generative AI leadership. I design, build, and deploy enterprise-scale LLM and GenAI solutions—including RAG, fine-tuning, and agentic frameworks—across multi-cloud environments.

At Striveworks I architected and led multi-cloud LLM Ops for five+ GenAI solutions, integrated Gemini 2.0 via Discovery Engine, and implemented RAG systems using Pinecone and Weaviate to cut hallucination rates by over 50%. I drove technical vision for foundational AI systems and established enterprise LLM adoption and governance frameworks.

Previously, I reduced deployment cycles by 55% through automation of ML and data pipelines, optimized transformer NLP models for a 30% improvement in personalization, and engineered a real-time fraud detection engine deployed as FastAPI microservices. I champion Responsible AI practices, security, and compliance (HIPAA, GDPR, SOC2).

I mentor engineers on advanced techniques (distillation, quantization, A2A protocols), and I focus on scalable, production-grade MLOps/LLMOps—combining LangChain/LangGraph/LlamaIndex tooling, CI/CD, observability, and cloud-native deployment to deliver measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Lead Generative AI Architect

Current

Striveworks

Aug 2021 - Present (4 years 10 months)

Architected and led multi-cloud LLM/GenAI solutions (RAG, fine-tuning, agentic frameworks) integrating Gemini 2.0 and Azure AI Foundry, reducing hallucination rates by over 50% and increasing customer service automation by 5%. Established enterprise LLM adoption, governance, observability, and Responsible AI practices across teams.

LLMOps LangChain Gemini Azure AI Foundry Vector DBs (Pinecone Weaviate RAG Fine Tuning Observability Lang Chain

Senior AI/ML Engineer

Omneky

Jun 2019 - Jul 2021 (2 years 1 month)

Automated ML and data pipelines across multi-cloud environments, reducing deployment cycles by 55% and improving personalized customer experiences by 30% via transformer-based NLP models. Engineered a real-time fraud detection pipeline deployed as FastAPI microservices, increasing fraud capture by 5%.

Transformers Databricks fastAPI Kafka XGBoost Cloud CI CD

AI/ML Engineer

Petuum

Jan 2017 - May 2019 (2 years 4 months)

Built deep learning CNN models for a healthcare pilot that accelerated diagnostic review and achieved measurable accuracy improvements, and implemented ETL pipelines with PySpark and SQL, yielding a 22% reduction in operational costs through predictive models.

Deep Learning Pyspark SQL CNN XGBoost ETL Version Control

Data Scientist

Rapid Innovation

Aug 2015 - Jan 2017 (1 year 5 months)

Led end-to-end data cleansing, feature engineering, and statistical analysis to build segmentation and churn models that increased retention by 15% and improved analytic data pipelines and dashboards for stakeholders.

SQL Clustering K Means Tableau Power BI Data Quality