Building the Secure Data Frontier
I help enterprise leaders scale cloud and AI initiatives without compromising data privacy. High-scale AWS/GCP architecture met with world-class PII redaction.
Founder of Philter, a specialized redaction engine designed for high-latency enterprise environments.
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Governed Cloud Architecture
Leveraging many years of AWS and GCP expertise to build resilient, multi-cloud environments where PII security is an architectural foundational.
Multi-Cloud Strategies
Designing federated architectures that bridge AWS and GCP for maximum redundancy and performance.
Well-Architected Governance
Auditing environments for structural integrity, cost-efficiency, and operational excellence.
Automated PII Discovery at Scale
I implement cloud-native discovery services, such as AWS Macie and GCP Sensitive Data Protection (DLP), to continuously monitor S3 buckets and Cloud Storage for unencrypted or misplaced PII. By automating the classification of "dark data", I help organizations move from manual audits to real-time visibility and risk remediation.
Privacy-by-Design Infrastructure
I bridge DevOps and Data Privacy by embedding security guardrails directly into Infrastructure as Code (IaC). Using Service Control Policies (SCPs) and automated IAM audits, I ensure that data environments are private by design.
Edge-Level Privacy Interception
I deploy real-time privacy filters at the network perimeter using Lambda@Edge and CloudFront Functions. By sanitizing incoming telemetry and user queries before they ever reach your centralized data lakes, I mitigate the risk of accidental PII ingestion and significantly reduce the scope of your compliance footprint.
Compliance Engineering
Implementing world-class PII redaction and NLP strategies.
Data Governance
I establish the structural frameworks and standards required to transform data from a potential liability into a governed enterprise asset.
PII/PHI Discovery
Leveraging advanced NLP and deep-learning models, I implement automated systems to identify sensitive entities within high-volume, unstructured data streams.
AI Guardrails
I engineer secure gateways for Generative AI and RAG pipelines to prevent sensitive information from ever reaching the model layer.
Local Differential Privacy (LDP)
I implement Local Differential Privacy to secure data at the source, adding mathematical noise to vector embeddings to prevent re-identification and vector-inversion attacks.
Differential Privacy
I move organizations from best-effort redaction to mathematically provable security by managing formal Privacy Budgets (ϵ) to ensure compliance with the strictest global regulatory standards.
Utility-Preserving Anonymization
Leveraging Masked Language Models (MLM), I perform context-aware entity replacement that maintains the semantic integrity of unstructured text. This creates synthetic twins of your data that are 100% private yet fully functional for training LLMs and refining NLP models.
Industry Leadership
Defining Global Standards in NLP and Privacy
Open Source Innovation
I am the developer and founder of Philter, Phileas, and the supporting ecosystem of tools designed to solve complex PII and PHI challenges.
By developing these tools, I provide the engineering community with high-performance solutions for maintaining data privacy within modern cloud and AI pipelines.
Global Technical Advocacy
I am a frequent speaker at international technology conferences, including OpenSearchCon, ApacheCon, and Berlin Buzzwords.
I share architectural insights on the intersection of cloud infrastructure and data privacy, helping organizations navigate the evolving landscape of emerging technologies and regulatory requirements.
Strategic Engagements
Direct advisory and engineering services for organizations requiring elite-level cloud architecture and AI privacy. I provide the governance and implementation expertise needed to bridge the gap between innovation and compliance.
Deep Audit
A high-impact evaluation of your existing stack.
I identify structural vulnerabilities in cloud configuration and data privacy, delivering a prioritized roadmap to remediate risk while maintaining operational velocity.
Fractional Leadership
Technical oversight for high-stakes transitions.
As an embedded advisor, I provide the governance and architectural direction necessary to scale AI and cloud initiatives with absolute confidence.
Specialized Engineering
Custom solutions for mission-critical challenges.
I design and deploy bespoke redaction layers and NLP pipelines for environments where off-the-shelf tools fail to meet scale or latency requirements.
Why Partner with Jeff Zemerick
With 17 years of experience navigating the evolution of cloud architecture and 15 years leading global standards in Natural Language Processing, I provide more than just technical execution. I offer the strategic foresight required to build systems that are not only high-performing but resilient and governed by design. Whether you are modernizing a legacy stack or pioneering a privacy-first AI initiative, my goal is to ensure your infrastructure is your greatest asset, not your largest liability.
© 2026 Jeff Zemerick. All Rights Reserved.