Nathan T. Everett

AI Systems · Machine Learning · Data Analytics

Building AI products, analytical models, and decision-ready insights from complex scientific and business data.

Education

M.S., Physics - University of California, Irvine (June 2021)
-Focus in Condensed Matter Physics

B.S., Physics - Michigan State University (May 2019)

Featured Projects

• LabDAWg — AI-Native Digital Audio Workstation
  • Desktop DAW that combines native recording, editing, mixing, MIDI, and plugin workflows with natural-language agentic control.
  • Methods: C++, Rust/Tauri, React/TypeScript, real-time audio, DSP, contract-driven APIs, AI tool integration, cross-platform desktop engineering, harness engineering.
• Free Chess Training · Live app
  • Built an 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.
  • Methods: React, TypeScript, Vite, MDX, Stockfish/WASM, WebSockets, Cloudflare Workers and Durable Objects.
• ML Engineer Study Guide and Agentic Job Search
  • Built a 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 job search agent.
  • Methods: Next.js, React, TypeScript, SQLite, Python, LLM provider abstraction, structured outputs, MCP, harness engineering.

Additional Projects

• Statistical Arbitrage: Reversal and Momentum Strategies in Crypto
  • Methods: Python (Pandas/NumPy), econometrics, linear regression analysis, quantitative trading, crypto, purification, alpha generation.
• Backtesting Long-Only Mean-Reversion Investment Strategy
  • Methods: Backtesting, mean-reversion, market analysis, equities, data analysis
• THz STM Simulation and Experimental Integration
  • Methods: FFT, polynomial fit, machine learning, object-oriented programming, predictive modeling, data processing.
• Nutrition Explorer
  • Methods: Data cleaning, Pandas, Regex, Matplotlib and Seaborn, iterative data imputation, data standardization, principle component analysis, K-means clustering.

Skills

• AI systems: LLM orchestration and model routing, tool and function calling, schema-typed structured outputs, evaluation harness design, RAG, prompt optimization, and inference cost and latency optimization.
• Machine learning: Computer vision, physics-informed and predictive modeling, regression, classification, PCA, clustering, feature engineering, model evaluation, deep learning, and time-series analysis.
• Signal and sensor processing: Real-time DSP, FFT and spectral analysis, nonlinear curve fitting, noise characterization, calibration, radiometry, measurement uncertainty, and error analysis.
• Backend and product infrastructure: Serverless edge services, managed databases, authentication, subscription billing, API design, telemetry pipelines, and cross-platform desktop packaging and distribution.
• Optical design and experimental systems: Zemax OpticStudio, ray tracing, stray light analysis, tolerancing, optomechanical design, calibration systems, data acquisition, ultrafast lasers, and high-energy impact experiments.

Work Experience

Co-Founder (November 2025-Present) LabDAWg, San Francisco, CA

• 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 (January 2024-September 2025) Institute of Shock Physics, Washington State University, Pullman, WA

• 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 for measuring high-pressure phenomenon in solids.
• Conducted troubleshooting of system-level failures of precision optical systems.

Research Scientist (May 2022-April 2024)
Redwire Space Components, Marlborough, MA

• Developed a computer vision algorithm, improving signal detection by more than 10x.
• Created mathematical models to analyze product capability to meet contract specifications.
• Reproduced simulations in the physical system which reduced internal error of star trackers that resulted in 2x effectiveness.
• Created four optical calibration systems in one year that reduced testing lead times of products by 4x.
• Presented a talk at the AAS GNC conference, highlighting product capabilities and applications.

Research Experience

Post Bac Researcher (May 2018-August 2019)
Ultrafast Terahertz Scanning Tunneling Microscopy Lab, MSU, Tyler Cocker

Publication

• Designed an algorithm for data extraction and processing of laboratory data.
• Created a mathematical model of energy states in semiconductors for measurement prediction and analysis.
• Used machine learning to predict physical quantities guided by an underlying mathematical structure.

Student Researcher (May 2017-May 2018)
National Superconducting Cyclotron Laboratory, MSU, Kei Minamisono

Publication

• Designed a data acquisition system for an optical calibration device.
• Operated data acquisition systems for optical measurements.

Graduate Student Researcher (September 2020-March 2021)
Krivorotov Group Spintronics and Nanomagnetism Lab, UCI, Ilya Krivorotov

• Performed micromagnetic simulations on nanowire systems for probing real world systems.
• Assisted in experimental design of micromagnetic resonance systems.
• Trained individuals on coding techniques for simulating theoretical systems.

Graduate Student Researcher (June 2020-September 2020)
Barty Group Optics Lab, UCI, Christopher Barty

• Created ray-tracing simulation for laser pulse dispersion system to guide experiemental design.
• Designed optics systems for laser pulse dispersion correction systems.

Publications

-Everett, N. T., (2024) High Dynamic Range Stray Light Test Facility, AAS GNC Conference Proceedings.

-Ammerman, S. E., [et al, including Everett, N.] (2022) Algorithm for Subcycle Terahertz Scanning Tunneling Spectroscopy, Physical Review B.

-Sommer, F., [et al, including Everett, N.] (2022). Charge Radii of Ni55,56 Reveal a Surprisingly Similar Behavior at N=28, Physical Review Letters.

-Powel, Robert, [et al, including Everett, N.] (2021) Improved Wavelength Meter Calibration in near-Infrared Region via Doppler-Free Spectroscopy of Molecular Iodine, Applied Physics B.

-Ammerman, S. E., [et al, including Everett, N.] (2021) Lightwave-driven scanning tunneling spectroscopy of atomically precise graphene nanoribbons, Nature Communications.