David Burton

New York, NY · david@databurton.com · GitHub · LinkedIn · databurton.com
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Summary

ML Engineer and quantitative developer based in New York. Founder of Klytotech LLC, building production ML systems and data infrastructure for clients across healthcare, biotech, and finance. Two-year-old algorithmic trading system on SPY options runs live capital. Collaborating on Alzheimer’s research with the NACC dataset (under peer review). Former international math teacher. Purdue and Indiana University.

Experience

Founder & Lead Engineer

Klytotech LLC · New York, NY · Self-employed
2024 — present
  • Building production ML systems and data infrastructure for clients across healthcare, biotech, and finance
  • Atlas Trading System: live algorithmic trading on SPY 0-1 DTE options with real capital; transparent level-based decision engine, six-state HMM regime detector with CUSUM jump detection, eleven coordinated OS processes with dual-broker fallback (Alpaca primary, Interactive Brokers secondary), disciplined LightGBM reintroduction under shadow-mode-and-ramp validators
  • Collaborating with University of Kansas neurology department on peer-reviewed clinical research using NACC dataset (31K+ participants), applying survival analysis and statistical modeling
  • Elm Dirt LLC: computational biology platform for agricultural biotech, implementing sequence analysis algorithms and bioinformatics pipelines for USDA grant submission
  • Developed ResearchAssistantAgent using LangChain SDK with custom tool calling, FAISS vector search, and multi-source API integration

Data Scientist

BTL Industries · Remote
February 2023 - June 2024
  • Built automated lead generation system processing 100K+ business profiles daily using local LLM (Qwen2-7B) and adaptive web scraping
  • Engineered data validation pipeline using spaCy for cross-source verification, achieving 95% data accuracy across SQLite operations
  • Created B2B data infrastructure enabling sales team to win President’s Club with 2x revenue growth ($30M) vs. teams without the system
  • Conducted 3-day on-site intensive workshops for enterprise clients with regular travel for hands-on implementation support

Data Analyst

Prenda · Remote
2021 — 2022
  • Built student tracking dashboard integrating 7+ educational platforms into unified PostgreSQL database with pass/fail stoplight system for 10,000+ students
  • Designed special education management solution streamlining IEP workflows and improving case handling efficiency
  • Developed predictive models using student performance data to flag intervention needs and optimize educational outcomes

Data Analyst

Freelance · New York, NY
September 2019 - February 2021
  • Automated grant writing applications using NLP processing, increasing efficiency by 40% and boosting funding acquisition by 200%
  • Built predictive models for nonprofit donor behavior analysis and funding opportunity matching across 1,000+ sources
  • Created and deployed Instagram chatbot growing active users from 90 to 1,000+ within three months

Education

Professional Data Engineer Certification

Google Cloud
2024

Data Science Program

Flatiron School
2019

Master of Science in Education

Indiana University
2010

Bachelor of Arts

Purdue University
2006

Skills

AI/LLM LangChain, OpenAI API, Qwen2-7B, Tool Calling, Prompt Engineering, RAG, FAISS, Vector Databases
ML/Quantitative LightGBM, XGBoost, TensorFlow, Prophet, LSTM, HMMs, CUSUM, Statistical Jump Models, Regime Detection, scikit-learn, pandas, NumPy
Data Engineering PostgreSQL, SQLite, DuckDB, Redis, Parquet, Docker, API Development, Web Scraping, ETL Pipelines
Research/Medical Survival Analysis, Clinical Data, Statistical Modeling, Peer Review Collaboration, Biostatistics
Computational Biology Sequence Analysis, Bioinformatics Pipelines, Thermodynamic Modeling, BLAST, Genomic Data Processing
Cloud/Infrastructure Google Cloud, Async Processing, JSON Schema Validation, Bulk Database Operations