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Senior AI Engineer with 10+ years of experience building production AI/ML platforms across healthcare, life sciences, enterprise SaaS, and data-intensive environments, with deep expertise in agentic workflows, RAG systems, model evaluation, observability, and responsible AI. Strong hands-on background in Python, SQL, scikit-learn, XGBoost, PyTorch, AWS, GCP, Kubeflow, Airflow, MLflow, Docker, Kubernetes, and cloud-native AI services. Proven track record designing reliable AI APIs, pipelines, and monitoring frameworks that improve model quality, safety, explainability, and operational resilience at scale. Trusted senior engineer known for strong architecture, governance-minded implementation, cross-functional leadership, mentoring, and translating complex business rules into production AI systems.…Senior AI Engineer with 10+ years of experience building production AI/ML platforms across healthcare, life sciences, enterprise SaaS, and data-intensive environments, with deep expertise in agentic workflows, RAG systems, model evaluation, observability, and responsible AI. Strong hands-on background in Python, SQL, scikit-learn, XGBoost, PyTorch, AWS, GCP, Kubeflow, Airflow, MLflow, Docker, Kubernetes, and cloud-native AI services. Proven track record designing reliable AI APIs, pipelines, and monitoring frameworks that improve model quality, safety, explainability, and operational resilience at scale. Trusted senior engineer known for strong architecture, governance-minded implementation, cross-functional leadership, mentoring, and translating complex business rules into production AI systems.

Jay Patel

AI Engineer, Data Scientist, Full Stack Developer, +1

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Senior AI Engineer with 10+ years of experience building production AI/ML platforms across healthcare, life sciences, enterprise SaaS, and data-intensive environments, with deep expertise in agentic workflows, RAG systems, model evaluation, observability, and responsible AI. Strong hands-on background in Python, SQL, scikit-learn, XGBoost, PyTorch, AWS, GCP, Kubeflow, Airflow, MLflow, Docker, Kubernetes, and cloud-native AI services. Proven track record designing reliable AI APIs, pipelines, and monitoring frameworks that improve model quality, safety, explainability, and operational resilience at scale. Trusted senior engineer known for strong architecture, governance-minded implementation, cross-functional leadership, mentoring, and translating complex business rules into production AI systems.…Senior AI Engineer with 10+ years of experience building production AI/ML platforms across healthcare, life sciences, enterprise SaaS, and data-intensive environments, with deep expertise in agentic workflows, RAG systems, model evaluation, observability, and responsible AI. Strong hands-on background in Python, SQL, scikit-learn, XGBoost, PyTorch, AWS, GCP, Kubeflow, Airflow, MLflow, Docker, Kubernetes, and cloud-native AI services. Proven track record designing reliable AI APIs, pipelines, and monitoring frameworks that improve model quality, safety, explainability, and operational resilience at scale. Trusted senior engineer known for strong architecture, governance-minded implementation, cross-functional leadership, mentoring, and translating complex business rules into production AI systems.

Available to hire

Senior AI Engineer with 10+ years of experience building production AI/ML platforms across healthcare, life sciences, enterprise SaaS, and data-intensive environments, with deep expertise in agentic workflows, RAG systems, model evaluation, observability, and responsible AI. Strong hands-on background in Python, SQL, scikit-learn, XGBoost, PyTorch, AWS, GCP, Kubeflow, Airflow, MLflow, Docker, Kubernetes, and cloud-native AI services. Proven track record designing reliable AI APIs, pipelines, and monitoring frameworks that improve model quality, safety, explainability, and operational resilience at scale. Trusted senior engineer known for strong architecture, governance-minded implementation, cross-functional leadership, mentoring, and translating complex business rules into production AI systems.

Skills

Experience Level

Expert

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Work Experience

Staff ML Engineer - Embodied AI Scaling Foundations at Vectra AI

July 1, 2023 - Present

Architected and delivered production AI systems for complex, high-volume investigation workflows, owning technical decisions across retrieval, orchestration, structured outputs, evaluation, and deployment reliability. Led development of multi-stage summarization workflows over long enterprise emails, improving information accessibility and operational context for business teams. Built scalable RAG pipelines using hierarchical chunking, hybrid dense and sparse retrieval, cross-encoder reranking, and guided generation to improve answer quality and reduce hallucinations in production assistants. Implemented schema-aware information extraction for long-context telemetry with self-correcting agent architectures and PyDantic validation; improved determinism and downstream usability. Delivered natural-language-to-SQL workflows with schema guards, self-reflection, and table/column selection logic enabling safe querying of complex production data stores by non-technical users. Built guided-reas

Machine Learning Engineer at Qualcomm

June 1, 2019 - June 1, 2023

Designed and implemented genetic ML workflows that automate artifact extraction, hypothesis generation, action orchestration, and reporting across large campaign graphics, reducing analyst triage time by an estimated 35–50%. Built robust Spark and SQL feature pipelines across heterogeneous claims, EHRs, and demographic datasets, improving data completeness for production releases.

Data Scientist at Innovaccer

June 1, 2015 - May 1, 2019

Built and validated production ML solutions for health care SaaS products, including patient risk stratification, 30-day readmission prediction, and engagement scoring across provider and payer environments. Delivered predictive models with AUC 0.82+ that supported value-based care programs covering 500k+ patients, helping stakeholders prioritize interventions and operational decisions at scale.