Chris Monson
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hands-on technical leader in AI/ML engineering, security, and large-scale distributed systems.
I love engineering, and I love people, and I'm great at bringing the two together. My CS PhD in ML, long experience with massive distributed systems at Google and Meta, time working in the legal expert field, and deep leadership experience make me uniquely skilled to solve problems in any organization. I can speak the right language to the right audience at the right time. I love digging into interesting problems and not just solving them, but setting up programs and scaffolding to keep them solved or managed over time. I've applied this to software systems, on-call operations, security review programs, and others. If you can solve a problem once and let it scale on its own, that's always a helpful bonus. But I'm also pragmatic; I won't try to boil the ocean just to get warm water. I have an eye for right-sizing solutions. In all of this I have had the privilege of working with great teams. That's where the real joy is in the work.
Brigham Young University
Ph.D., Computer Science
January 1, 2003 – January 1, 2006
Brigham Young University
MS, Computer Science (Machine Learning)
January 1, 2002 – January 1, 2003
Brigham Young University
BS, Electrical Engineering, Math
August 1, 1992 – August 1, 1998
Abundant Security
Founding Engineer
June 1, 2026 – Present
United States · Remote
Career Break
Career transition
March 1, 2026 – Present
Baltimore, Maryland, United States
Atlassian
Senior Security Architect - AI Trust and Safety Lead
December 1, 2024 – March 1, 2026
Remote
Meta
Software Engineering Manager
April 1, 2024 – November 1, 2024
Meta
Machine Learning Engineer
June 1, 2023 – April 1, 2024
Meta
Software Engineering Manager
August 1, 2022 – June 1, 2023
Meta
Software Engineer
April 1, 2021 – August 1, 2022
3rd-Party Fact Witness
Deposition and Testifying
April 1, 2019 – December 1, 2019
Washington DC-Baltimore Area
Johns Hopkins University Information Security Institute
Lecturer
August 1, 2018 – December 1, 2020
Baltimore, Maryland
Data Machines Corp.
Chief Technology Officer
March 1, 2018 – April 1, 2021
Ashburn, VA · Hybrid
Senior Software Engineer
March 1, 2014 – March 1, 2018
Washington, D.C.; New York, NY; and Baltimore, MD
Data Tactics Corporation
Research Engineer
January 1, 2014 – March 1, 2014
McLean, VA
Harbor Labs
Research Scientist
February 1, 2013 – December 1, 2013
Google, Inc
Senior Software Engineer
May 1, 2006 – February 1, 2013
Engram
April 1, 2026 – Present
Memory enhancement for Claude and other mainstream AI interfaces. Token reduction and context canary. https://github.com/shiblon/engram
AgentQ
March 1, 2026 – Present
Demonstration of end-to-end agentic system with secure-by-design principles. Fault-tolerant, compartmentalized memory and permissions, string sandboxing via MCP, standard auth and agent identity.
EntroQ
April 1, 2018 – Present
Competing consumer task queue like Spanner Queues but much lighter weight, cluster agnostic, and fast.
Certified Scrum Product Owner
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes significant roles at major tech companies (Google, Meta, Atlassian) and leadership positions in startups (Data Machines Corp., Abundant Security). Their personal projects like 'Engram' and 'AgentQ' show a strong interest in cutting-edge AI and system design, aligning with an innovative and technically driven culture. The breadth of experience, from core engineering to management, security, and teaching, suggests adaptability and a broad perspective. However, the target role of 'Data Analyst' is a notable shift from their senior engineering and architectural background, which might require clarification regarding their long-term career aspirations and how they envision contributing in a data analyst capacity.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (CTO, Engineering Manager, Tech Lead) and teaching positions (Lecturer at Johns Hopkins, Educator at Google) suggests strong communication, mentorship, and strategic thinking skills. Their involvement in AI safety and security indicates a proactive and responsible approach to technology. The diverse project portfolio, including personal projects, demonstrates initiative and a continuous learning mindset. However, the target role of 'Data Analyst' is a significant pivot from their senior engineering and architectural roles, which might indicate a mismatch in operational expectations or a desire for a different type of challenge.