Seattle, WA — AI/ML Engineer
I build agentic systems that ship to production.
Skyler Carlson — Principal, Intelligence Engineering at Slalom. Ten years spanning systems engineering, machine learning, and production agentic platforms — building MCP servers, agentic workflows, and serverless/k8s full-stack applications on AWS, GCP, and Azure.
Selected Work
Deep-research agent platform
Engineering lead for a zero-to-one agentic system performing deep research and report writing. MCP servers plus agentic data-visualization and mapping capabilities.
IOTA Hub →
Sole developer of a serverless platform for a citizen-science astronomy organization — cut scientific data review from months to days for downstream consumers like NASA and ESA.
Agentic Workflow Accelerator
Core contributor to Slalom’s cloud-agnostic agentic workflow engine — built MCP server capabilities and agent isolation functionality used across client engagements.
Production GenAI at Fortune 500 scale
Matured a beta GenAI application into a production MLOps platform while halving inference spend; separately built an event-driven personalization service that lifted email clickthrough 85%.
Experience
Principal, Intelligence Engineering
Engineering lead for an agentic deep-research platform for an AI infrastructure client — hands-on from architecture through production code to delivery.
Machine Learning Architect
Core contributor to the Agentic Workflow Accelerator; cut a Fortune 500 client’s LLM inference spend by 50%; led a team of three on an AI-accelerated legacy modernization with Codex. AI SME shaping agentic solution patterns in Azure AI Foundry for enterprise clients.
Advanced Data Scientist
AI/ML Center of Excellence. Led a team of three running an enterprise RAG system with thousands of users; ~2x improvement in radio signal collision separation with neural networks.
Senior Data Scientist
Semantic segmentation for document layout analysis; object detection on synthetic aperture radar imagery; Python tooling for automated reporting.
Systems Engineer → Senior Systems Engineer
Automated ~50% of root-cause analysis ticket workflows with AI (~$1M/yr saved); SME for data servers and SQL operations across 30+ sites.
Patents & Publications
Voice Fingerprinting System for Detecting Hoax Emergency Reports
U.S. Patent 12,615,335 B2 · issued Apr 2026 · sole inventor
USPTO ↗U.S. Patent · 2026
System and Method for Training Machine Learning Systems That Separate Radio Signals Which Overlap in Frequency and Time
U.S. Patent application 18/439,904 · allowed Jul 2026 · Carlson et al.
USPTO ↗SPIE Paper · 2023
Data Generation and Separation of AM Radio Collisions with Machine Learning
Proc. SPIE 12529 · Carlson, Liu, Leal, Palermo · doi:10.1117/12.2662948
SPIE ↗SPIE Paper · 2023
StegAI: Detecting Steganography with Deep Learning
Proc. SPIE 12544 · Beatty & Carlson · doi:10.1117/12.2662974
SPIE ↗
Certifications
AWS Certified Machine Learning — Specialty
2025 — 2028Certified Information Systems Security Professional (CISSP)
2020 — 2029AWS Certified Solutions Architect — Associate
2025 — 2028Google Associate Cloud Engineer
2025 — 2028SnowPro Specialty: GenAI
2025 — 2027SnowPro Core
2025 — 2027About
I started as a systems engineer keeping mission systems running across 30+ sites, moved into data science and machine learning, and now build agentic AI platforms for enterprises — a staff-level generalist who owns the whole stack: architecture, infrastructure, application code. I develop with Claude Code daily, and clear backlogs at a pace that used to take a team.
Away from work: before machine learning I spent six years as a mountain rescue technician in southern Arizona — 130+ missions with the Southern Arizona Rescue Association. These days I build software for amateur astronomy as the creator of IOTA Hub, helping citizen scientists deliver asteroid data to NASA and ESA.
Education
M.S., Data Science
Statistical methods, algorithms for data science, databases, and data visualization.
B.S., Systems Engineering
Minor in Mathematics. Dean's List with Distinction; senior design team leader for an autonomous-vehicle testbed for GNC algorithm testing.
Contact
Open to interesting problems in agentic systems, applied ML, and the occasional astronomy side quest. The fastest way to reach me: