Alex Udodik
I’m Alex Udodik, a software engineer who enjoys building end-to-end systems that turn messy real-world data into reliable, production-ready workflows.
About
I’m Alex Udodik, a software engineer who enjoys building end-to-end systems that turn messy real-world data into reliable, production-ready workflows. I’ve worked on everything from automated AI pipelines for document understanding to scalable scraping and data ingestion systems that reduce manual effort and improve throughput.
In addition to engineering large back-end and cloud components, I also like bringing products to life through front-end development and thoughtful architecture. Whether I’m designing AWS infrastructure with ECS and Docker, optimizing SQL performance, or streaming live data to an interactive UI, my focus is always on measurable outcomes, maintainability, and shipping solutions that perform.
- 1 year's experience
- Joined November 2026
Industry experience
- Software & Internet
More experts in Seattle, United States
Work experience
Built and launched a WordPress site with domain transfer and SEO for a client; scoped work and drafted a contract.
Building an end-to-end LoRA LLM pipeline for scanned PDF/TIFF documents that automates training, deploys only models that beat the production baseline, and visualizes regressions by document section. Reduced human-in-the-loop review by 50% and is projected to save $1M+. Designed a gap-detection algorithm over 33.8M county documents that normalizes each county’s recording rate (excluding weekends/holidays), surfacing 3,300+ missing date ranges across 44 counties. Architected and deployed production AWS CDK infrastructure using ECS and Docker containers, leveraging AI-assisted planning to design and validate the solution.
Led the ground-up rebuild of 5 company websites from WordPress to in-house-hosted React app, running requirements gathering, feedback reviews, and cross-team communication; migrated a legacy static HTML/CSS site to React + PHP/IIS. Built a CI/CD pipeline with GitHub Actions to containerize and deploy web scraper applications to a Kubernetes cluster, supporting 40 active scrapers with infrastructure architected to scale to 1,000+. Diagnosed and rewrote a bottleneck SQL INSERT query, reducing database write time by 90% and increasing scraper throughput. Refactored 8 standalone web scrapers into a unified driver-model architecture, standardizing integrations and reducing per-scraper onboarding to a single interface implementation.
Education
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