Anthony G. Tellez

About Me

Senior technology executive and AI security strategist with deep expertise in data intelligence, cybersecurity, anti-fraud, and digital asset analytics for global financial services.

Professional Summary

Currently serving as Principal Forward Deployed Software Engineer at Crogl (Series A), I architect novel security solutions and drive customer deployments while maintaining deep expertise in AI/ML platform development, security automation, and predictive intelligence that drive risk reduction and operational resilience across enterprise environments.

As a recognized thought leader, I am frequently invited to keynote and speak at major industry conferences, including SuriCon, Splunk .conf, the Databricks Data & AI Summit, and Dark Reading Executive Summits. My work has resulted in multiple patents and innovation awards, reflecting a career committed to advancing the intersection of cybersecurity, applied AI, and enterprise risk intelligence.

Certifications

  • CISSP - August 2023
  • CEH - January 2023
  • CNDA - January 2023
  • Security+ - November 2021

Awards & Patents

Awards:

  • Splunk President's Club FY20
  • Public Sector MVP FY16
  • Splunk Values Award FY15

Patents:

  • US11843622B1 - Machine Learning Models for Domain Classification (Splunk/Cisco, 2023)
  • US20230410072A1 - Enhanced Non-Fungible Tokens (Tantamount Labs, 2023)

Experience

Crogl

Principal Forward Deployed Software Engineer

July 2025 – Present | Phoenix, AZ (Remote)

  • Architected multi-SIEM automation framework supporting Splunk, Azure Sentinel, CrowdStrike, and Databricks — reducing response plan development time by 70%
  • Designed AI agent accountability and governance framework for enterprise SOC environments, enabling auditable AI operations aligned to NIST AI RMF, SOC 2, ISO 27001, GDPR, and HIPAA
  • Built production MCP-based threat intelligence automation connecting 10 security platforms (CrowdStrike, Tenable, Shodan, VirusTotal), reducing manual OSINT collection time by 80%

Bank of New York Mellon

Senior Vice President, Data & Intelligence Engineering

September 2023 – July 2025 | New York, NY (Remote)

  • Senior executive defining the firm's data-driven cybersecurity, digital asset intelligence, and anti-fraud strategy across global institutional business lines
  • Deployed LLM-based decision intelligence platforms for regulatory alert triage and anomaly detection, reducing manual analysis workloads by over 30%
  • Represented BNY Mellon at SuriCon 2024 in Madrid showcasing "Supercharging Security with RAG" — first large-scale institutional demonstration of RAG for security operations

Palo Alto Networks

Cloud Security Architect, Prisma Cloud

January 2023 – September 2023 | Phoenix, AZ

  • Acted as trusted advisor in executive-level engagements, aligning Prisma Cloud to customer risk profiles, regulatory requirements, and cloud transformation strategies
  • Conducted technical POCs and competitive bake-offs against Wiz, Sysdig, and Lacework, contributing to strategic wins across Fortune 500 accounts

BlockFi Inc.

Senior Security Architect, Head of Machine Learning

April 2021 – August 2022 | Phoenix, AZ

  • Appointed first Head of Machine Learning; architected and delivered a modern ML platform serving 100+ data scientists and 400 BI users in under six months
  • Built crypto-specific graph analytics framework tracing and flagging $252M in suspicious blockchain transactions, resulting in proprietary IP
  • Identified and responsibly disclosed a critical zero-day vulnerability to a global authentication provider while serving in an ML role

Splunk Inc.

Principal Architect, Global SE Architect, Machine Learning & AI

October 2014 – April 2021 | Phoenix, AZ

  • Key driver of Splunk's revenue growth from $35M to $411M (FY18–FY21) through ML solution development, technical leadership, and enterprise customer enablement
  • Architected large-scale security data platforms for government agencies and Fortune 500 companies processing 100TB+ of daily log data at petabyte scale
  • Co-authored Splunk's machine learning toolkit, integrating TensorFlow, scikit-learn, and Spark MLlib, enabling security analysts to run complex ML workflows without deep data science expertise

Education

Bachelor of Arts in Political Science

Wabash College, Crawfordsville, Indiana | May 2010

Western Governors University

23 Credits toward Masters in Data Analytics | 2017-2018

Technical Skills & Expertise

AI/ML & LLM

Claude AIModel Context Protocol (MCP)Retrieval-Augmented Generation (RAG)LangChainHugging Face TransformersTensorFlowPyTorchDatabricksVector EmbeddingsSemantic Similarity DetectionLLM OrchestrationPrompt EngineeringMLOpsModel DevelopmentFeature Engineering

Security Platforms

Splunk Enterprise SecurityPhantom SOARAzure SentinelCrowdStrikeTenableDragosFidelisCISA KEVVirusTotalShodanSuricataNessusMetasploitPrisma Cloud

Cloud & Infrastructure

AWS (ECS, Lambda)Azure (Container Instances, Sentinel, Confidential Ledger)GCPTerraformKubernetesDockerPulumiCDKCI/CD AutomationServerlessAir-gapped DeploymentsZero-Trust Networking

Cryptography & Security

RSA-PSS SignaturesAzure Confidential LedgerCryptographic AttributionOAuth 2.0SSL/TLSSecure Key ManagementImmutable Audit TrailsSOC 2ISO 27001GDPRHIPAA

Data Engineering

Apache KafkaDelta LakeNeo4j (Graph Analytics)PostgresSnowflakeEvent-Driven ArchitecturesStreaming PipelinesLakeHouse ArchitecturesPySparkETL/ELT

Blockchain & Digital Assets

ChainalysisAlchemyEllipticTRM LabsDune AnalyticsThe GraphWeb3.jsEthers.jsNFTIPFSDeFi ProtocolsSmart Contract SecurityGraph-Based Blockchain Forensics

Languages & Query

PythonSQLBashKQL (Kusto Query Language)SPL (Splunk Processing Language)PySparkTypeScriptJavaScriptGoRRubyPerl (RegEx)

API & Development

FastAPIJSON Schema ValidationREST APIsGitWebhook AutomationGraphQLMicroservicesReactNext.js

Let's Connect

Interested in discussing AI security, machine learning, or technical collaboration?