Open to opportunities

David Strickler

@davidstrickler

Message

Senior AI engineer and cloud-native AI/ML architect delivering production LLM systems.

United States

Message

What I'm looking for

I am seeking senior-level roles building production LLM and cloud-native AI systems, in security-conscious, compliance-focused organizations that value measurable business impact and strong MLOps practices.

I am a cloud-native AI/ML architect with 10+ years designing, deploying, and optimizing intelligent systems across AWS, Azure, and GCP. I combine hands-on engineering with solution architecture to build secure, compliant, production-grade AI.

My work spans ETL, vector search, multi-agent orchestration, and full-stack MLOps, with direct experience deploying LLM-centric solutions in Bedrock, Azure OpenAI, and Vertex AI. I lead implementations that prioritize observability, compliance, and performance.

I have led teams and programs delivering predictive models, recommendation engines, and operational ML pipelines, driving measurable business outcomes such as reduced churn and improved fulfillment. I document standards, codify performance parameters, and establish reproducible delivery workflows.

I hold an MBA and JD and pursue certifications in AI architecture and governance. I am pragmatic, security- and compliance-minded, and focused on translating enterprise requirements into scalable AI solutions.

Experience

Work history, roles, and key accomplishments

Current

AI Architect

Current

4S-Silversword LLC

Jan 2024 - Present (1 year 10 months)

Architected a multi-agent LLM system for RFP triage and opportunity scoring using AWS Bedrock, Lambda, EventBridge and RDS; designed FAISS-based vector search pipelines and standardized documentation and observability for FedRAMP-facing environments.

Lambda EventBridge Faiss Vector Search LangGraph AutoGen

Director, Advanced Analytics

Hilton Grand Vacations

Jan 2022 - Dec 2023 (1 year 11 months)

Managed teams building predictive models for churn, sales performance and segmentation using a GCP/Azure hybrid ML stack; migrated legacy models to serverless production and embedded auditability across training artifacts.

BigQuery Databricks GCP Serverless Architecture Data Compliance

Senior Principal

Blackbuck Insights

Jan 2021 - Dec 2022 (1 year 11 months)

Led design of an AI-powered care recommendation engine ingesting real-time patient context and medical history; built behavior-based user identity profiling using unsupervised learning on device telemetry.

Recommendation Systems Unsupervised Learning Telemetry Python PyTorch

Data Engineer

MassMutual

Jan 2021 - Dec 2022 (1 year 11 months)

Performed data analytics and formatting on healthcare datasets within a Vertica environment to support downstream analytics and reporting.

Vertica Data Engineering ETL SQL Healthcare Analytics Data Formats Data Quality

Data Scientist

Distributor Corporation of New England

Jan 2018 - Dec 2020 (2 years 11 months)

Designed and deployed RNN-based sales frequency model reducing churn by 12% and implemented market-basket embeddings that increased co-purchase revenue 11%; built PySpark anomaly detection cutting stockouts by 18%.

PyTorch RNN Pyspark Embeddings Pandas scikit learn Anomaly Detection

Risk Management Consultant

Procom Services

Jan 2017 - Dec 2018 (1 year 11 months)

Built SAS credit default models for regulatory compliance and authored statistical methodology and CCAR documentation for Federal Reserve review.

SAS Credit Models Regulatory Compliance CCAR Documentation

Principal Consultant

Hidalgo Consulting Group

Jan 2013 - Dec 2017 (4 years 11 months)

Forecasted seasonal retail demand using Twitter sentiment and Bayesian models, designed supply chain optimizers and built NLP-based competitor trackers using spaCy.

Bayesian Optimization NLP SpaCy demand planning Supply Chain Optimization Sentiment Analysis