Christopher K. Monson, PhD

Experienced Software Engineer, Security Architect, Leader, and Educator

Computer Science Ph.D. specializing in ML/AI and statistical optimization. Engineering leader and architect with deep experience across security, ML, ads systems, US government research programs, and security education.

Work

Senior Security Architect - AI Trust and Safety Lead

Atlassian
Remote MD

Created AI-specific product and corporate security programs from the ground up.

  • Policy expert in charge of setting direction and writing education materials for acceptable corporate AI tool use, internal/external MCP and connectors.

  • AI identity and permissions expert enabling launch of assignable agents in Jira.

  • Standards expert in charge of maturity metrics and development lifecycle AI security policy, as well as preparation for ISO 42001.

  • AI tooling and governance leader responsible for enabling prioritization of AI applications to Trust org needs.

  • AI testing and maintenance oversight, enabling consistent compliance, security, and privacy visibility and action.

Engineer and Engineering Manager

Meta
Remote MD

Progressed through multiple engineering and management roles across Ads, Reality Labs, and Privacy (layoffs and reorgs created more than usual churn)

  • Mar 2024-Nov 2024: Engineering Manager in Ads Experiments/AB Test. Team of 7, responsible for A/B testing infrastructure.

  • Jun 2023-Mar 2024: Senior ML Engineer in Ads Experiments/AB Test. Revamped A/B testing on-call, making it truly 24/7 multi-regional

  • Aug 2022-Jun 2023: Engineering Manager in Reality Labs (AR Glasses). Team of 6, delivered multiple application prototypes for AR glasses.

  • Apr 2021-Jul 2022: Senior Engineering Tech Lead in Privacy, Data Misuse Prevention. Owner of massive, sensitive privacy logs, bot detection infra, and rate limiting infra used to thwart data exfiltration attempts.

Cloud Computing Security Lecturer

Johns Hopkins Information Security Institute
Baltimore MD

Created and taught Cloud Computing Security course.

CTO

Data Machines Corp.
Ashburn VA / Baltimore MD

Chief Technology Officer leading multiple DARPA and DoD programs.

  • Primary Investigator and Chief Architect for DARPA MediFor (Media Forensics). Built image detection pipeline infrastructure, led team building UX, led academic teams in technology implementation.

  • Primary Investigator and Chief Architect for DARPA LogX (Next Generation Logistics). Built fault-tolerant logistics microservice architecture from the ground up, CI/CD frameworks for academic institutions to integrate with, led design.

  • Chief Architect for NXGBCC (US Army Next-Generation Biometrics Collection and Search). Built backend data schema and search, biometrics collection and search hardware integrations, and mobile UX.

  • CTO responsibilities across all other contracts.

Senior Software Engineer

Google Inc.
Washington DC / New York City / Baltimore MD

Senior software engineering and tech lead roles across multiple product areas.

  • Area 120 Project: Chief Architect for TTS and speech recognition system (Aug 2017-Mar 2018).

  • Machine Learning for Hiring and People Operations Tech Lead (Mar 2015-Aug 2017).

  • Elections Search Results and Civic Now Cards (Mar 2014-Jan 2015).

  • Python and Go readability reviewer and instructor. ML instructor.

Research Scientist

Data Tactics Corporation
McLean VA

Short fixed-term research contract: XData project Go Circuit

Research Scientist

Harbor Labs LLC
Owings Mills MD

Technical expert support in software patent litigation.

  • Technical expert report and rebuttal drafting, patent non-infringement and invalidity.

  • Prior art research, code review, and evidence collection.

  • Markmonitor report on BitTorrent detection, fact deposition and testimony.

Google Inc.

Senior Software Engineer
Mountain View CA / Pittsburgh PA / Zurich Switzerland

Exa-scale machine learning and infrastructure across ads, maps, and search quality.

  • Machine learning and SRE for malware detection, ads click prediction.

  • AdSense for Search Tech Lead (team of 8) - made Top 10 list; AdSense for Content Predictions.

  • Regional Maps Data Tech Lead at Zurich office.

  • Search Quality Projects - Executive Management Group award.

  • Primary author of original gears-based YouTube uploader.

Engineering Intern
Mountain View CA

Statistical machine translation - Operating Committee award, precursor to Translate.

Various engineering

Various roles across companies and educational institutions. Info on request

  • Adjunct faculty at UVSC (now UVU)

  • Chief Architect and CTO

  • Cryptographic Software Engineer

Education

Brigham Young University

Ph.D. in Computer Science - Machine Learning and Optimization

Brigham Young University

M.S. in Computer Science - Machine Learning

Brigham Young University

B.S. in Electrical Engineering with Math Minor

Skills

Programming Languages (Current)

  • Go
  • Java
  • Python 3
  • Bash
  • JavaScript
  • TypeScript
  • Dart
  • SQL
  • Hack

Programming Languages (Experienced)

  • Python 2
  • C
  • C++
  • HTML5
  • CSS
  • AngularJS
  • Angular 2
  • Flutter

Infrastructure and Operations

  • Kubernetes
  • Docker Swarm
  • Ceph
  • HTTP
  • RESTful Services
  • mTLS

AI and Security

  • ChatGPT
  • Claude
  • Gemini
  • AI Trust and Safety
  • Agentic Identity
  • Security Architecture

Notable Projects

Engram: Memory, Personality, and Context Canary for AI Agents

Give your agent a personality with short-term, long-term, and invariant memory with low-token-count search and session-start injection. Notice when the personality starts slipping before it start making a mess of your code.

  • Go
  • AI Agents
  • Token Savings

Publications

  1. Introduction to Programming for the Independent Student: A Self-Starter's Course on the Principles and Practice of Bending Computers to Your Will. Book. ISBN 979-8670383400. Monson, C.. Amazon.com. 2020.
  2. Practical Cryptography in Python: Learning Correct Cryptography by Example. Book. ISBN 978-1484248997. Nielson, S. and Monson, C.. Apress. 2019.
  3. No Free Lunch, Bayesian Inference, and Utility: A Decision-Theoretic Approach to Optimization. Ph.D. Dissertation. Monson, C. K.. Brigham Young University. 2006.
  4. Reinforcement Learning in the Joint Space: Value Iteration in Worlds with Continuous States and Actions. Master's Thesis. Monson, C. K.. Brigham Young University. 2003.
  5. A Graphical Model for Evolutionary Optimization. Journal paper. Monson, C. K., Seppi, K. D., and Carroll, J.. Evolutionary Computation Journal, 16(3):289-313. 2008.
  6. Confident but Weakly-Informed: Tackling PSO's Momentum Conundrum. Conference paper. Monson, C. K., Seppi, K. D.. IEEE SSCI 2014, Orlando, FL. 2014.
  7. Under-Informed Momentum in PSO. Conference paper. Monson, C. K., Seppi, K. D.. GECCO 2014, Vancouver, BC. 2014.
  8. Simple Adaptive Cognition for PSO. Conference paper. Monson, C. K.. CEC 2011, New Orleans, LA. 2011.
  9. A Bayesian CMAC for High-Assurance Supervised Learning. Conference paper. Carroll, J., Monson, C. K., and Seppi, K. D.. IJCNN Workshop 2007, Orlando, FL. 2007.
  10. Parallel PSO Using MapReduce. Conference paper. McNabb, A. W., Monson, C. K., and Seppi, K. D.. CEC 2007, Singapore. 2007.
  11. A Utile Function Optimizer. Conference paper. Monson, C. K., Seppi, K. D., and Carroll, J.. CEC 2007, Singapore. 2007.
  12. MRPSO: MapReduce Particle Swarm Optimization. Conference poster. McNabb, A. W., Monson, C. K., and Seppi, K. D.. GECCO 2007 Poster Session, London. 2007.
  13. Adaptive Diversity in PSO. Conference paper. Monson, C. K., Seppi, K. D.. GECCO 2006, Seattle, WA. 2006.
  14. Particle Swarm Optimization in Dynamic Pricing. Conference paper. Mullen, P. B., Monson, C. K., Seppi, K. D.. CEC 2006, Vancouver, BC. 2006.
  15. Linear Equality Constraints and Homomorphous Mappings in PSO. Conference paper. Monson, C. K., Seppi, K. D.. CEC 2005, Edinburgh, UK. 2005.
  16. Exposing Origin-Seeking Bias in PSO. Conference paper. Monson, C. K., Seppi, K. D.. GECCO 2005, Washington, D.C.. 2005.
  17. Bayesian Optimization Models for Particle Swarms. Conference paper. Monson, C. K., Seppi, K. D.. GECCO 2005, Washington, D.C.. 2005.
  18. Variable Resolution Discretization in the Joint Space. Conference paper. Monson, C. K., Wingate, D., Seppi, K. D., and Peterson, T. S.. ICMLA 2004, Louisville, KY. 2004.
  19. Improving on the Kalman Swarm: Extracting Its Essential Characteristics. Conference paper. Monson, C. K., Seppi, K. D.. GECCO 2004 Late Breaking Papers, Seattle, WA. 2004.
  20. The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization. Conference paper. Monson, C. K., Seppi, K. D.. GECCO 2004, Seattle, WA. 2004.
  21. Patent: Intrusive Software Management. US Patent 8,515,896 filed Oct 2007. Methods and systems for detecting and managing intrusive software..
  22. Patent: Detecting an Intrusive Landing Page. US Patent 8,019,700 filed Oct 2007. Methods and systems for detecting intrusive landing pages..
  23. Patent: Intrusive Feature Classification Model. US Patent 7,991,710 filed Mar 2008. Methods and systems for classifying intrusive features..