Michael Bilca

TS/SCI Eligible | FBI SSBI (2019) | CI Poly (2022) | Virginia, USA | m@bilca.ai | +1.703.884.7184 | Download PDF ↓
Creator of temper.ai — neuromorphic SNN playground and AI alignment research.

Executive Summary

Greybeard security architect. Agentic engineer. Mentor. Technology executive and security architect with 23+ years delivering mission-critical AI and systems for DoD, IC, and federal law enforcement. Hands-on neuromorphic researcher with two decades of independent work on spiking neural networks, focused on distributed architectures as structurally safer alternatives to centralized AI models. Proven in fielding novel platforms from mathematical concept to operational deployment, advising senior government decision-makers, and building international consensus in standards bodies. Stanford mathematician. Bell Labs alumnus. Published on systemic risks in current alignment paradigms, including instruction-data conflation vulnerabilities, synthetic feedback loop collapse, and training data contamination. Passionate about ensuring powerful AI systems (indeed all systems) are deployed safely and beneficially.

Key Qualifications

Professional Experience

Founder & Principal Architect — temper.ai 2002 – Present

  • Independent Spiking Neural Networks researcher since 2002; launched temper.ai as a research platform and AI alignment publication venue.
  • Built Turing, a working neuromorphic SNN demonstration platform leveraging LLM APIs, exploring distributed intelligence architectures as alternatives to centralized AI models.
  • Published six-part thesis examining systemic risks in centralized AI architectures — including instruction-data conflation in autonomous agents, synthetic feedback loops, and training data contamination — proposing distributed neuromorphic architectures as structurally safer alternatives.
  • Developed STDP learning algorithms with dopamine-modulated weight adaptation, demonstrating self-organizing dynamics and real-time temporal spike processing.
  • Implemented platform in Go with OpenGL visualization, demonstrating real-time neural dynamics on commodity hardware.

Technical Standards Strategist — FBI / Tridea Works 2013 – 2025

  • Served as primary technical advisor on 5G lawful intercept strategy, unifying policy and architectures for ~20,000 law enforcement and intelligence agencies.
  • Represented U.S. law enforcement as technical lead in 3GPP SA3, SA3-LI and ETSI NFV Security, building international consensus and driving adoption of U.S. requirements.
  • Led security requirements and architecture across multi-vendor cloud-native virtualized platforms, translating complex technical concepts for diverse stakeholders.
  • Directed cybersecurity strategy in international forums, driving USG alignment with technology modernization across satellite, 3G/4G/5G/6G, and cloud architectures.

Executive Engineer — In Depth Engineering, Inc. 2011 – 2013

  • Developed mathematical modeling, system architecture, and operational implementation of the U.S. Navy Anti-Torpedo Torpedo (ATT) Response Management System.
  • Created analytical approach to maximize probability of target acquisition; built carrier motion, launch, and intercept models.
  • Presented R&D results to Navy leadership and gained acceptance for deployment — demonstrating ability to convey complex technical solutions to senior government decision-makers.
  • Implemented models and operational code in Wolfram Mathematica, Java, and C++.

Executive Engineer — ASSETT 2008 – 2011

  • Built and led engineering team on the Ohio Replacement Program (Columbia-class) next-generation submarine combat system, driving technical strategy that secured a $75M engineering services contract.
  • Demonstrated live code injection and zero-downtime upgrades across C/C++, Python, Java, and OpenGL on SOA substrate.
  • Migrated advanced architectural concepts from R&D into the Virginia-class submarine combat system.
  • Served as consulting member of the Submarine Navy Systems Architecture Working Group.

Senior Consulting Engineer — Tridea Works (FBI/CALEA Implementation Unit) 2003 – 2008

  • Served as IP network intercept technology specialist at the Federal Bureau of Investigation, supporting the CALEA Implementation Unit.
  • Developed standards strategy and technical contributions for U.S. electronic surveillance standards across ATIS, CableLabs, IETF, WISPA, and WiMAX standards bodies.
  • Developed U.S. buffered data intercept requirements; drove implementations across multiple standards organizations.
  • Served as editor of numerous ATIS PTSC standards and technical reports, including T1.678, Lawfully Authorized Electronic Surveillance for Internet Access Services, and Technical Report on Buffering.
  • Monitored IETF MANET and Autoconf groups for surveillance impact on mobile ad-hoc networks; integrated findings into FBI intercept strategy.
  • Drafted petitions to the FCC challenging deficient published lawful intercept standards.
  • Served as Facility Security Officer, implementing DSS facility and personnel clearance regulations.
  • Evaluated, trained, and mentored new hires.

Systems Architect — Lucent Bell Labs 2000 – 2002

  • Represented Lucent in ITU-T Geneva Study Group 11 on ISUP/BICC/SIP interworking, contributing to international VoIP standards.
  • Led "skunk works" team that architected and delivered a Java/SWING/JDBC/XML client-server application for managing telephony announcements across networked SoftSwitches — delivered one month ahead of schedule.
  • Represented Lucent in customer technical engagements with Deutsche Telekom, Telefonica, and AT&T; aligned product roadmap with customer requirements.
  • Designed redundant subsystem architecture that was subsequently adopted system-wide.
  • Responded to RFPs and RFIs — including requirements authored in prior role at AT&T Labs.
  • Published articles and gave labs-wide seminars on VoIP standards; mentored junior developers.

Systems Architect — AT&T Bell Labs 1999 – 2000

  • Analyzed and recommended Voice over Packet network solutions (IP/ATM/MPLS) for evolving the AT&T long-distance circuit-switched network.
  • Performed network topology mathematical studies and recommended optimal configurations.
  • Innovated throttled, self-adaptive packet architecture for bearer traffic; initiated patent application process.
  • Published RFPs/RFIs and evaluated vendor responses.

Education

B.S., Mathematical & Computational Science — Stanford University

Mathematics/Group Theory, Computer Science/AI, Statistics, Operations Research/Optimization | Hoefer Prize in Mathematics

Graduate Coursework, Electrical Engineering, Advanced Mathematics — Princeton University

Game Theory, Wireless Systems

Technical Expertise

AI / ML
Spiking Neural Networks, STDP learning algorithms, temporal coding, distributed intelligence, genetic algorithms, LLM fundamentals
Languages
Python, Go, C/C++, Java, Wolfram Mathematica, Bash
Architecture
SOA, cloud-native (Kubernetes), high-availability systems, secure-by-design, VoIP/IMS
Security
NIST frameworks, zero trust, 3GPP SA3, ETSI NFV Security, lawful intercept architectures

Selected Awards & Recognition

Thought Leadership & Publications

Multi-part article series on AI alignment, safety, and security — bilca.ai/articles