LIVING SPECIFICATION — rev. 4.1
EFFECTIVE: 2026 · SUPERSEDES ALL PRIOR RESUMES
Ahmad Jandal
A Living Specification for a Computer Scientist, AI SME & Researcher
STATUS: ACTIVE DEVELOPMENT
DOMAIN: AI STANDARDS & ML SYSTEMS
COMMENT PERIOD: ALWAYS OPEN
Keywords: AI standards; machine learning; ISO/IEC JTC 1/SC 42; production automation; technical program management; TensorFlow; Cloudflare Workers; Chicago, IL.
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Abstract
This document specifies Ahmad Jandal: a computer scientist and AI subject-matter expert at the National Institute of Standards and Technology, machine-learning graduate student at Georgia Tech, and engineer of production systems spanning fraud detection, workflow automation, and serverless cloud infrastructure. He works where AI systems meet the technical standards that make them trustworthy — and ships the tooling that makes both move faster.
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Scope
This specification covers the design, coordination, and delivery of large-scale technical programs — with an emphasis on AI standards development, ML systems engineering, and automation in high-stakes environments (federal, legal, and commercial).
Out of scope: slide decks that don't ship anything. See §2 for evidence.
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Experience
NORMATIVE
2.1
National Institute of Standards & Technology
2024 — PRESENT
Computer Scientist · AI SME · Researcher · NobleReach Foundation Scholar
- Directed Zero Drafts, an enterprise-scale AI standards program spanning 100+ stakeholders across government, industry, and academia — delivering 10+ contributions adopted by ISO/IEC working groups and cutting standards development cycle time by 40%.
- Designed and deployed a production workflow-automation system (Selenium + Google Apps Script) tracking 100+ active standards projects in a secure federal environment — role-based access control, configuration management, operational runbooks — reducing manual tracking effort by 75%.
- Serve as NIST Principal to INCITS/AI and contributor to ISO/IEC JTC 1/SC 42; coordinate the interagency AI Standards Coordination Working Group across 15+ federal agencies, driving 100% adoption of standardized processes and a 60% increase in cross-agency engagement.
- Brief senior federal leadership and interagency committees — translating deep technical work into decisions at the national level.
2.2
FTI Consulting
2023 — 2024
Technology Consultant — San Francisco, CA
- Delivered $2M+ in project value across 5 concurrent Am Law 100 engagements — full lifecycle from requirements to production, with zero production incidents and 100% on-time completion.
- Led a 3-person engineering team building a multi-million-record ETL pipeline for child-safety litigation, cutting daily data processing from 20 hrs → 30 min.
- Built a SQL-based quality-control framework with automated anomaly-detection dashboards; passed every federal data-handling security audit.
2.3
Keysender
2021 — 2023
Product Manager & Engineer — B2B SaaS, Chicago, IL
- Built and shipped a fraud-detection system (Python + TensorFlow) integrated across 6 marketplace APIs — cutting annual fraud from 18% → 5% across 94,000+ orders.
- Architected an automated competitive-pricing engine on AWS EC2 — real-time price intelligence across 7 marketplaces, algorithmic repricing for 1,000+ SKUs — scaling the platform to $100M+ annual GMV and 200+ vendors.
- Led an emergency migration of a 100k-user web app from Vercel to Cloudflare Workers during a live security incident, cutting infrastructure costs by 99%.
// NOTE: this very website is served from that same Cloudflare account. Dogfooding is a conformance requirement.
2.4
Massive Data Institute, Georgetown University
2022 — 2023
Data Scientist — Washington, D.C.
- Processed and analyzed 3M+ court records across 2,000+ jurisdictions (Python, SQL, GeoPandas) to surface systemic bottlenecks in eviction proceedings — findings cited in government housing proposals.
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Education
Georgia Institute of Technology
M.S. Machine Learning
IN PROGRESS · EXPECTED 2027
STATUS: DRAFT → FINAL
Georgetown University
B.S. Computer Science & International Affairs
CUM LAUDE · GPA 3.9/4.0 · 2023
MINOR: MANDARIN CHINESE
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Technical Capabilities
CONFORMANCE MATRIX
ANNEX A (INFORMATIVE) — POLICY FLUENCY
The subject also speaks fluent government: he has coordinated AI programs with foreign governments, international standards bodies, and U.S. federal agencies, and regularly translates between engineers and national decision-makers. This annex is informative, not normative — but it ships with every build.
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Revision History
| VER | DATE | CHANGE |
|---|
| 1.0 | 2019 | Initialized at Georgetown — CS & International Affairs |
| 2.0 | 2021 | First production systems shipped @ Keysender |
| 2.5 | 2022 | ML at scale — 3M records @ Massive Data Institute |
| 3.0 | 2023 | Enterprise delivery @ FTI Consulting |
| 4.0 | 2024 | National AI standards @ NIST |
| 4.1 | 2026 | M.S. Machine Learning in progress @ Georgia Tech |
| 5.0 | TBD | Your team. Comments welcome below. ↓ |