AI Systems
LLM orchestration, model routing, tool and function calling, structured outputs, RAG, evaluation harnesses, and cost/latency optimization.
AI / ML Engineer
NathanT. Everett
Physicist, founder and research engineer building AI products, analytical models, and decision-ready insight from complex scientific and business data.
- M.S.
- Physics, UC Irvine
- 5
- Peer-reviewed publications
- 10x
- Signal detection improvement
- 200+
- Typed AI tool functions shipped
About Nathan
Research-grade rigor, shipped as working software.
I'm a physicist, founder and research engineer who combines rigorous data analysis with hands-on systems and product development.
I founded LabDAWg, an AI-powered desktop audio editor, and led it from concept to open beta with paying users across product, engineering, go-to-market, and fundraising.
My background includes optical systems, signal processing, calibration, and experimental research, with a record of improving detection performance and reducing test cycles.
Measure first
Evaluation harnesses, calibration, and uncertainty analysis before claims — models earn trust with numbers.
Ship end-to-end
From LLM orchestration and DSP kernels to billing, auth, and signed desktop distribution.
Physics mindset
Models grounded in the underlying structure of the system, not just curve-fitting the data.
Freelance & Contract Focus
AI systems. Machine learning. Signals. Infrastructure.
Four areas I take on for clients — from a scoped prototype to a production system with the evaluation and instrumentation to back it up.
Machine Learning
Computer vision, physics-informed and predictive modeling, regression, classification, clustering, feature engineering, and time-series analysis.
Signals & Sensors
Real-time DSP, FFT and spectral analysis, nonlinear curve fitting, noise characterization, calibration, and measurement uncertainty.
Product Infrastructure
Serverless edge services, managed databases, auth, subscription billing, API design, telemetry pipelines, and cross-platform desktop packaging.
Portfolio
Featured Projects
Systems I designed and built end-to-end, from real-time audio engines to agentic study and job-search tooling.
LabDAWg — AI-Native Digital Audio Workstation
Desktop DAW that combines native recording, editing, mixing, MIDI, and plugin workflows with natural-language agentic control.
- C++
- Rust / Tauri
- React / TypeScript
- Real-time audio
- DSP
- Contract-driven APIs
- AI tool integration
- Cross-platform desktop
- Harness engineering
Free Chess Training
Open-source, no-account chess learning app with 181 focused lessons, progressive-hint puzzles, an in-browser Stockfish analysis board, local progress tracking, and real-time games backed by Cloudflare Durable Objects.
- React
- TypeScript
- Vite
- MDX
- Stockfish / WASM
- WebSockets
- Cloudflare Workers
- Durable Objects
ML Engineer Study Guide & Agentic Job Search
Study platform with a curriculum dependency graph, confidence-calibrated quizzes, spaced review, coding exercises, a progress-aware AI study buddy, job-specific interview preparation, and a job search agent.
- Next.js
- React
- TypeScript
- SQLite
- Python
- LLM provider abstraction
- Structured outputs
- MCP
- Harness engineering
Additional Projects
Statistical Arbitrage: Reversal & Momentum Strategies in Crypto
Quantitative research into reversal and momentum signals in crypto markets.
- Python (Pandas/NumPy)
- Econometrics
- Linear regression
- Quantitative trading
- Alpha generation
Backtesting a Long-Only Mean-Reversion Strategy
Systematic backtest of a long-only mean-reversion approach on equities.
- Backtesting
- Mean-reversion
- Market analysis
- Equities
- Data analysis
THz STM Simulation & Experimental Integration
Simulation and analysis pipeline bridging terahertz scanning tunneling microscopy theory and lab measurement.
- FFT
- Polynomial fit
- Machine learning
- OOP
- Predictive modeling
Nutrition Explorer
Exploratory analysis and unsupervised structure discovery across nutrition data.
- Data cleaning
- Pandas
- Regex
- Matplotlib / Seaborn
- Iterative imputation
- PCA
- K-means clustering
The original project index remains available on GitHub Pages.
Experience
Founding, engineering, and research roles.
Industry
Co-Founder
LabDAWg
San Francisco, CA
Nov 2025 – Present
- Designed and built the complete technical stack for an AI-native desktop audio editor, spanning LLM orchestration, a real-time DSP engine, serverless infrastructure, authentication, payments, and distribution.
- Built a natural-language control layer mapping user intent onto 200+ audio-production functions through strictly typed tool schemas, making model output deterministic and safe to execute against a live audio session.
- Took the company from concept to open beta, launched signed Windows and macOS applications, and acquired an initial base of paying subscribers.
Research Optical Engineer
Institute of Shock Physics, Washington State University
Pullman, WA
Jan 2024 – Sep 2025
- Performed data analysis on electrical and optical signals from shock wave experiments.
- Developed new experimental optical systems for shock wave measurements.
- Conducted high-energy impact experiments measuring high-pressure phenomena in solids.
- Troubleshot system-level failures of precision optical systems.
Research Scientist
Redwire Space Components
Marlborough, MA
May 2022 – Apr 2024
- Developed a computer vision algorithm, improving signal detection by more than 10x.
- Created mathematical models to analyze product capability against contract specifications.
- Reproduced simulations in the physical system, reducing internal error of star trackers for 2x effectiveness.
- Built four optical calibration systems in one year, reducing product testing lead times by 4x.
- Presented at the AAS GNC conference on product capabilities and applications.
Research
Post-Bac Researcher
Ultrafast Terahertz STM Lab, MSU — Tyler Cocker
East Lansing, MI
May 2018 – Aug 2019
- Designed an algorithm for extraction and processing of laboratory data.
- Created a mathematical model of semiconductor energy states for measurement prediction and analysis.
- Used machine learning to predict physical quantities guided by an underlying mathematical structure.
Graduate Student Researcher
Krivorotov Spintronics & Nanomagnetism Lab, UC Irvine
Irvine, CA
Sep 2020 – Mar 2021
- Performed micromagnetic simulations on nanowire systems for probing real-world systems.
- Assisted in experimental design of micromagnetic resonance systems.
- Trained others on coding techniques for simulating theoretical systems.
Graduate Student Researcher
Barty Group Optics Lab, UC Irvine
Irvine, CA
Jun 2020 – Sep 2020
- Created ray-tracing simulations for a laser pulse dispersion system to guide experimental design.
- Designed optics for laser pulse dispersion correction systems.
Student Researcher
National Superconducting Cyclotron Laboratory, MSU — Kei Minamisono
East Lansing, MI
May 2017 – May 2018
- Designed a data acquisition system for an optical calibration device.
- Operated data acquisition systems for optical measurements.
Education
Trained as a physicist.
M.S., Physics — University of California, Irvine
Focus in condensed matter physics
2021
B.S., Physics — Michigan State University
Experimental physics and instrumentation
2019
Founded LabDAWg and shipped signed Windows and macOS builds to paying subscribers.
Improved signal detection more than 10x with a computer vision algorithm at Redwire Space.
Cut product testing lead times 4x by building four optical calibration systems in a year.
Five peer-reviewed publications including Nature Communications and Physical Review Letters.
A full CV with detailed project write-ups, methods, and publication history is available on request.
Email for CVSkills
From model internals to production infrastructure.
AI systems
- LLM orchestration
- Model routing
- Tool & function calling
- Schema-typed structured outputs
- Evaluation harness design
- RAG
- Prompt optimization
- Inference cost & latency optimization
Machine learning
- Computer vision
- Physics-informed modeling
- Predictive modeling
- Regression
- Classification
- PCA
- Clustering
- Feature engineering
- Model evaluation
- Deep learning
- Time-series analysis
Signal & sensor processing
- Real-time DSP
- FFT & spectral analysis
- Nonlinear curve fitting
- Noise characterization
- Calibration
- Radiometry
- Measurement uncertainty
- Error analysis
Backend & product infrastructure
- Serverless edge services
- Managed databases
- Authentication
- Subscription billing
- API design
- Telemetry pipelines
- Desktop packaging & distribution
Optical design & experimental systems
- Zemax OpticStudio
- Ray tracing
- Stray light analysis
- Tolerancing
- Optomechanical design
- Calibration systems
- Data acquisition
- Ultrafast lasers
- High-energy impact experiments
“What I cannot create, I do not understand.”
Research
Publications
Peer-reviewed work in physics, metrology, and instrumentation.
High Dynamic Range Stray Light Test Facility
Everett, N. T.
AAS GNC Conference Proceedings
2024
Algorithm for Subcycle Terahertz Scanning Tunneling Spectroscopy
Ammerman, S. E., et al. (incl. Everett, N.)
Physical Review B
2022
Charge Radii of Ni-55,56 Reveal a Surprisingly Similar Behavior at N=28
Sommer, F., et al. (incl. Everett, N.)
Physical Review Letters
2022
Improved Wavelength Meter Calibration in the near-Infrared Region via Doppler-Free Spectroscopy of Molecular Iodine
Powel, R., et al. (incl. Everett, N.)
Applied Physics B
2021
Lightwave-driven Scanning Tunneling Spectroscopy of Atomically Precise Graphene Nanoribbons
Ammerman, S. E., et al. (incl. Everett, N.)
Nature Communications
2021
Availability
Available for AI/ML engineering work.
Freelance and contract engagements: AI product builds, model and evaluation work, signal processing, and technical due diligence.
Contact
Let's build something.
For freelance engagements, contract engineering, or research collaboration, reach out by email or send a note below.
- nathan.townsend.everett@gmail.com
- United States — available remote