I build things.
Sometimes that's a data pipeline. Sometimes it's an automation, an API, an AI-assisted workflow, a web application, or an experiment that started because I wondered, "Could I make this work?"
The Distracted Developer is where I build, experiment, learn, and turn useful ideas into working systems.
My background is in data engineering, but my interests don't fit neatly into one box. I enjoy finding messy problems, figuring out how the pieces fit together, and designing practical solutions.
My work currently spans:
- Software & Backend Development — Python, APIs, application architecture, testing, and production-oriented development
- Data Engineering — ETL/ELT pipelines, data modeling, validation, transformation, and reliable data systems
- Automation & AI — workflow automation, AI-assisted systems, agents, integrations, and tools that eliminate repetitive work
- Applied Data Science — experimentation, forecasting, optimization, statistics, and decision systems
- Web & Product Development — turning ideas into usable applications and digital products
A decision-focused forecasting system that connects demand forecasts to operational capacity decisions.
Highlights: rolling backtesting · forecasting · service-level analysis · cost-aware capacity planning · Python · CI/CD
A constraint-based workforce scheduling system built with operations research techniques.
Highlights: OR-Tools CP-SAT · constraint modeling · skill coverage · soft overtime constraints · cost optimization
An experimentation framework for designing and evaluating product A/B tests.
Highlights: experiment design · SQL metrics · statistical testing · SRM detection · CUPED · power analysis · minimum detectable effect
I like problems where the answer isn't obvious.
My usual process is:
Understand the problem → find the failure points → design the system → build it → test it → make it usable.
I care about maintainability, reproducibility, clear documentation, and building solutions that someone can actually use after I'm finished.
Languages
Python · SQL · Java · JavaScript / TypeScript
Data & Analytics
Pandas · NumPy · scikit-learn · DuckDB · Databricks · statistical modeling · experimentation · optimization
Engineering
Git · GitHub · GitLab · Docker · CI/CD · REST APIs · testing · data pipelines
Cloud & Web
AWS · Next.js · backend services · application deployment
AI & Automation
LLM-assisted workflows · AI agents · workflow automation · API integrations
My professional background spans data engineering, applied data science, and software development, supported by formal education in Mathematics (BS), Data Science (BS), and Computer Science with a focus in Artificial Intelligence (MS).
Today, I bring those foundations together to build practical software, data, automation, and AI systems.
Being distracted isn't always a lack of focus.
Sometimes it's curiosity.
I like learning new things, exploring different technologies, and following interesting problems far enough to see whether they turn into something useful.
This GitHub is where those ideas become code.
More projects are always in progress.