Milwaukee, WI
Evan Perez
Founder, Neurova LLC
Senior Data Engineer at Sift Healthcare. Self-taught engineer with a non-traditional path that made me better at building things that actually work. I started Neurova to build production-grade software for people who need it — full-stack apps, AI pipelines, automation tools, and data systems.
Background
Montessori Teacher & Basketball Coach
Built science and history curriculum for grades 4-8. Coached a girls basketball team. Ran a robotics club using LEGO NXT robots and the ROBOTC programming language — my first taste of writing code that does something real. Managing a classroom taught me more about leadership and adapting on the fly than any management course could.
Regulatory Affairs
Developed regulatory strategies for chemical products, prepared federal and state licensing applications, and reviewed labeling for accuracy and compliance. This gave me an eye for detail and process thinking that carries into every system I build today.
Personal Trainer (NASM Certified)
The career change sounds random until you realize every job I've had is the same thing: take a complex system, figure out what it actually needs, and build a program that gets results. The discipline transferred — I just swapped barbells for databases.
Data Analyst Apprentice — Children's Wisconsin
Broke into tech entirely self-taught — no CS degree, no bootcamp. Wrote SQL queries, built Python automation scripts, and analyzed healthcare claims data. Learned by building real things and solving real problems.
Senior Data Engineer — Sift Healthcare (5 years)
Progressed from Data Engineer to Data Engineer III. Building and maintaining production data pipelines on AWS using dbt, Python, and cloud infrastructure — processing healthcare data at scale every day. The self-taught path wasn't a detour; it was training.
What I Work With
Languages
Python and TypeScript. Python for data, ML, and automation; TypeScript for web apps and APIs.
Frontend
React, Next.js, Tailwind. My sites score 96+ on Lighthouse across the board.
Backend & Data
FastAPI, Node.js/Express, PostgreSQL, SQLite, Redis. ETL pipelines processing 100K+ records daily.
AI/ML
TensorFlow, scikit-learn, XGBoost, OpenAI API, RAG with pgvector. ML models with 878+ engineered features.
Infrastructure
AWS, Docker, Railway, Vercel, GitHub Actions. Everything ships to production, not a demo.