Profile

I'm a software engineer with a B.S. in Computer Science + Astronomy from the University of Illinois at Urbana-Champaign. Experienced in reliable software systems, interactive web applications, and applied machine learning. I'm excited by positive applications of code and artificial intelligence and their intersection with every industry.

Skills

Python C C++ TypeScript JavaScript Java HTML CSS SQL R Haskell MATLAB React Next.js Node.js Tailwind CSS Docker AWS Firebase Firestore MongoDB Git GitHub GitHub Actions Linux / Ubuntu Linux / WSL RESTful APIs TCP/IP OAuth2 CI/CD Pandas NumPy PyTorch Jupyter Notebooks Visual Studio Visual Studio Code IntelliJ Android Studio Excel Word OpenAI API Framer Motion GSAP

Experience

Software Engineer

DataAnnotation · Jan 2024 — Present

· Engineered 500+ Docker containers to run and validate code, boosting AI reliability and deliverable coding performance by as much as 250%
· Audited and tested 10,000+ files across complex repositories, improving stakeholder-critical output fidelity by 18%
· Automated machine learning unit-test tooling on Linux/WSL, reducing manual QA effort by 20%
· Architected 100+ codebases across Python, C++, TypeScript, backend, and database layers for extensive LLM evaluation
· Built CI/CD testing workflows that cut validation failures by 35% and improved early defect detection

Selected Work

MuseShare

TypeScript · React Native / Expo · Firebase · Firestore · REST APIs

Full-stack React Native music-sharing app with messaging, profiles, social flows, Firebase workflows, and a machine-learning-backed cellular automata visual identity system
  • Developed a full-stack React Native/Expo music-sharing app with direct messaging, profiles, and social media flows
  • Engineered a persistent cellular automata visual identity system with a machine learning layer, evolving personalized 64x64 album-palette images that reflect each user’s music activity and style
  • Integrated music metadata APIs with Firebase workflows and TypeScript caching, reducing redundant network/database calls and improving repeated-share latency by 50%+
  • Architected scalable Firestore data models and access patterns to support fast client-side queries
▶ Demo

Portfolio

React · Next.js · Tailwind CSS · Framer Motion · Vercel

Responsive modular portfolio with 50+ interactive entries, reusable components, accessible transitions, fast load times, and Vercel deployment
  • Crafted a responsive, modular portfolio site with 50+ interactive entries, animations, and fast load times using React, Next.js, Tailwind CSS, Framer Motion, and GSAP
  • Developed reusable React components to organize and display 20+ data-driven items with clean, accessible UX and interactive transitions
  • Implemented interactive skill bars using React and Tailwind CSS, allowing visitors to filter projects by technology; observed a 15% increase in project page views from this feature
  • Published and maintained the site on Vercel, enabling continuous deployment via GitHub Actions with 100 ms build times and 100% uptime
→ GitHub

Wrapped Now

JavaScript · HTML · CSS · Spotify API

Spotify API web app showing top tracks and artists across multiple time ranges with OAuth2 login and interactive Wrapped-style cards
  • Engineered a web app using the Spotify API to display up to 50 top tracks/artists in a Wrapped‑style UI
  • Introduced OAuth 2.0 authentication to enable secure user login via Spotify, ensuring safe data access and compliance with security standards
  • Used Spotify's API and JavaScript to show 50+ top artists for 1/6/12‑month periods with interactive HTML/CSS cards
→ GitHub ▶ Demo

TV Time

Java · C++ · Gson API

TV show data tool using Gson to parse JSON, retrieve 200+ episodes, and improve navigation through object-oriented design
  • Parsed and converted JSON using Gson API, reducing data fetching time by 35%
  • Built an Object-Oriented structure to manage TV data efficiently
  • Added features to retrieve episodes by various parameters

QuickEats

Java · Android · Google Places API

Android app for restaurant recommendations using location services and the Google Places API
  • Developed an Android app for restaurant recommendations
  • Integrated location services and Places API to suggest 300+ nearby options
  • Designed UI for flexible filtering by food type and distance
→ GitHub ▶ Demo

Education

University of Illinois at Urbana-Champaign

B.S. Computer Science + Astronomy · Jan 2018 — Dec 2023

Notable Coursework

  • Data Structures and Algorithms
  • Artificial Intelligence
  • Computer Architecture
  • System Programming
  • Programming Languages & Compilers
  • Statistical Analysis
  • Machine Learning
  • Distributed Systems

Certifications

AWS Certified Cloud Practitioner

Jan 2026 — Jan 2029

Contact

Lets connect

olscocos@gmail.com · 309-340-3606 · ollantayscocos.com · github.com/Oscocos
LinkedIn GitHub Email