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Headline

Summary

Constellation Network

Bloomberg LP

Constellation Labs

Salesforce

Radius Intelligence

Publications & Writing

Languages & Skills

Education

Selection

General suggestions

Fill in numbers where you have them (team size, contract value, detector F1, latency/memory savings). The 'with metrics' option on Constellation Network marks the spots.
Keep it to one page for most applications: Constellation Network plus the two most recent prior roles in full, older roles as one-liners if space runs out.
Skill-level bars (the old Reactive Resume layout) are hard for applicant-tracking systems to parse; plain comma lists are safer. The new layout already does this.
Put the arXiv link and GitHub in the header area of the PDF so they are clickable from the first screen.
Use one date format throughout (the new layout normalizes to 'Month YYYY – Month YYYY').

Ryle Goehausen

Director of Engineering

Palo Alto, CA · ryle@goehausen.org · ryle.dev · LinkedIn · GitHub

Summary

Engineering leader with 12+ years in distributed systems, data platforms and machine learning. Today: LLM security and inference optimization, U.S. Air Force / DoD supply-chain security, and open-source leadership.

Experience

Constellation Network

September 2021 – Present

Director of EngineeringSan Francisco

Technical lead for a multi-year U.S. Air Force / DoD supply-chain security program: built the research prototype, then led the team delivering a platform for securing and verifying defense supply-chain data.
Built Gate AI, a prompt-injection and jailbreak detection model for LLM applications: 97.4% F1 at a 1% false-positive rate across 16 public benchmarks (12,111 samples), with the evaluation methodology published on arXiv.
Prototyped an LLM pipeline for HIPAA-regulated health data on Amazon Bedrock, with isolated environments for protected health information and a hybrid model combining traditional ML with LLM-derived features.
Applied LLM compression and KV-cache optimization to cut inference memory, latency and serving cost.
Lead the company's open-source project: roadmap, architecture, code review and releases.

Bloomberg LP

August 2019 – September 2021

Senior Software EngineerSan Francisco

Portfolio Analytics (PORT) Data Transparency team: built the greenfield prototype of a Parquet-based Portfolio Enterprise Data Lake for large enterprise customers.
Integrated time-series storage and analytics with BQL for batch financial reports.
Contributed Jupyter and Spark portfolio notebooks to the Bloomberg Data Science Platform; internal Spark contributor.

Constellation Labs

April 2018 – July 2019

VP of EngineeringSan Francisco

Founding engineer and engineering lead for the company's open-source distributed data platform.
Built the early core system; grew and led the team, owning hiring, planning, releases and documentation.

Salesforce Inc

March 2017 – April 2018

Senior Performance EngineerSan Francisco

Einstein Readiness (big data / ML) team: contributor to TransmogrifAI, Salesforce's open-source AutoML library for Spark.
Owned performance for TransmogrifAI-powered products: Sales Cloud Lead Scoring, Marketing Cloud Einstein Engagement Scoring, Einstein Prediction Builder and Service Cloud Case Classification.

Radius Intelligence

September 2013 – March 2017

Data ScientistSan Francisco

Built the company's first Spark cluster on AWS and migrated the data pipeline from Cascading to Scala Spark.
Scaled marketing segmentation from single-machine Python to distributed Scala, Spark and Algebird.
Developed ML models for business de-duplication, lead scoring and customer-signal analysis across CRM integrations.

Publications & Writing

R. Goehausen, M. Sousa. Gate AI: LLM Security Benchmark Evaluation Methodology and Results. arXiv, 2026.
R. Goehausen. Gate AI blog, Aug 2026: Your system prompt is not a security control; Frontier models fall to attacks you can script.

Skills

Languages: Rust, Python, Scala, Java, TypeScript, C++, SQL, Lean 4
AI / ML: LLM security & evaluation, LoRA fine-tuning, quantization, KV-cache optimization, vLLM, PyTorch, CUDA, Amazon Bedrock, Spark ML
Data: Spark, Arrow, Parquet, Lance, PostgreSQL, data lakes
Infrastructure: Kubernetes, AWS, Docker, Terraform, CI/CD, GPU clusters

Education

University of California, Santa Cruz

Physics · 2006–2010

Undergraduate intern, Santa Cruz Institute for Particle Physics: MILAGRO and VERITAS gamma-ray detector calibration.