Albert Bogdan

Statistics & Computer Science @ UIUC

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hi, my name is albert, and welcome to my page!

  • rising junior studying CS+Stats at a T5 CS university
  • interests in full-stack, data, AI, ML
  • B2 biliteracy in 🇵🇱 and seal of biliteracy in 🇩🇪
Albert Bogdan

Stack

Languages
TypeScriptTypeScript
JavaScriptJavaScript
PythonPython
JavaJava
C++C++
RR
Frontend & Backend
ReactReact
TailwindCSSTailwindCSS
ViteVite
Node.jsNode.js
FastAPIFastAPI
FlaskFlask
Spring BootSpring Boot
Databases
PostgreSQLPostgreSQL
MySQLMySQL
Cloud SQLCloud SQL
AI & Data Science
NumPyNumPy
PandasPandas
Scikit-learnScikit-learn
JupyterJupyter
OpenAIOpenAI
GeminiGemini
ClaudeClaude
FAISS
Infrastructure & Cloud
AWSAWS
DockerDocker
GCPGCP
LinuxLinux
GitHub ActionsGitHub Actions
GitGit
CloudflareCloudflare
VercelVercel

Professional

iVenture Accelerator Cohort 12 - Cozad New Venture Challenge Award Winner
  • Reduced order approval turnaround from 48 hours to 60 seconds with an end-to-end Gemini agentic pipeline that parses distributor emails and generates print-ready proofs.
  • Standardized proof output by building a node-based rendering engine that composites logos, text, and multi-format assets into print-ready templates.
  • Increased share of orders handled by 35% utilizing Gemini tool-calling agent that maps custom logo design instructions to manual OpenCV/PIL image-processing functions.
  • Enabled reliable deployment by containerizing the FastAPI backend on AWS with Docker, PostgreSQL, and S3.
  • Engineered a sales automation tool for targeted outreach to generate 90,000+ client leads with a 93% success rate.
  • Accelerated product design from 1 week to 15 minutes with an LLM-driven pipeline for design and quality control.
  • Shipped the outreach platform by building and hosting a TypeScript, React, and PostgreSQL application on AWS Lightsail.
  • Engineered a biotech investment analytics platform using TypeScript and Java, implementing data visualization tools and automated reporting features.
  • Set up and deployed a PostgreSQL database on AWS EC2 with secure login and data management, ensuring reliable and scalable cloud access.
  • Developed RESTful APIs with Java Spring Boot to serve analytical data, enabling generation of heat maps, graphs, and charts for visualization.
  • Processed NFL fantasy football data in Python to improve trade predictions and generate future player rankings.

Academic

GPA: 3.91 · Edmund J. James Scholar · Dean's List (SP25, FA25) · H&R Block 2025 CAPS Scholar
CS 128 · Intro to Computer Science II
CS 173 · Discrete Structures
CS 225 · Data Structures
CS 222 · Software Design Lab
CS 233 · Computer Architecture
CS 357 · Numerical Methods I
CS 374 · Intro to Algorithms
CS 411 · Database Systems
CS 443 · Reinforcement Learning
CS 341 · System Programming
CS 498 · Machine Learning Systems
MATH 241 · Calculus III
MATH 257 · Linear Algebra
STAT 107 · Data Science Discovery
STAT 400 · Statistics & Probability I
STAT 410 · Statistics & Probability II
STAT 425 · Statistical Modeling I
STAT 440 · Statistical Data Management
University of Illinois Urbana-Champaign
  • Teaching 300+ students dynamic programming, reductions, graph modeling, and induction by leading review sessions and weekly office hours.
University of Illinois Urbana-Champaign
  • Teaching 500+ students proofs, induction, recursion, and combinatorics through tutorials and weekly office hours.
  • Boosting exam performance by 15% (90% of course grade) by leading weekly review sessions for 250+ students.
  • Chosen to be 1 of 3 lead-CAs by running in-class problem walkthroughs and grading coursework for Summer 2026.
University of Illinois Urbana-Champaign
  • Quantified AP Top 25 voter bias across 250,000+ ballots, exposing systematic bias towards high-profile conferences.
  • Flagged the 1% most extreme voter–team pairs out of 1,000+ by measuring bias using a Weighted Spearman footrule metric.
  • Visualized 60+ voters' locations and biases in an R Shiny geospatial map, presenting to 10+ judges at UIUC Research Symposium.
  • Summarized a research paper on a cardinality estimation algorithm including hashing and hit counting.
  • Validated theoretical error bounds and benchmarked runtime performance by implementing the algorithm in C++.

Projects

  • Built a privacy-first fitness route planner that automatically reroutes around 31,000+ real-world ALPR surveillance cameras.
  • Reduced camera load time by 5× by deploying on Cloudflare Workers, using edge runtime to cache geospatial queries and proxy API traffic without hitting the origin server.
  • Enabled cross-device route sync by integrating Neon Postgres with Clerk OAuth, migrating localStorage routes to DB on first login.
CS-411 Database Systems
  • Built CityRank, a full-stack relocation-ranking platform that scores U.S. cities against user preferences using a React, Flask REST API, and a Cloud SQL (MySQL) backend on GCP.
  • Converted free-text prompts into weighted city rankings by engineering a keyword-extraction pipeline backed by a stored procedure, an audit-logging trigger, and integrity constraints.
  • Implemented user authentication, saved searches with adjustable metric weights, and a transaction/rollback verification panel across a 5-entity relational schema, applying stored procedures, triggers, and CHECK constraints.
CS-222 Software Design Lab
  • Built a browser-based graphic design editor with a layered canvas, supporting per-layer drag-to-reorder, visibility/lock toggles, and non-destructive transform (resize, rotate, translate) powered by react-konva.
  • Engineered a tabbed multi-project workspace backed by Redux Toolkit, isolating canvas state (dimensions, zoom, background color) and layer stacks per project with paginated switching across unlimited sessions.
  • Implemented pointer-anchored zoom from 10–500% with constrained Space+drag panning and fit-to-screen auto-scaling, alongside a tool sidebar (select, brush, shapes, text) for full canvas navigation and drawing control.
HackIllinois 2026
  • Built a multi-agent adversarial legal simulation engine that spawns 3–5 AI judges with distinct legal philosophies, fans out GPU inference in parallel across Modal serverless workers, and streams a 3-round debate to the client over WebSocket.
  • Automated jurisdictional research by chaining a Tavily web search with a GPT-4o-mini + Instructor structured-output call that extracts relevant legal precedents and demographic jury biases from any uploaded case PDF.
  • Produced deterministic verdicts by routing the completed debate transcript through a GPT-4o Arbiter that scores argument quality, penalizes logical fallacies, and weights jury alignment by real jurisdictional bias data.
HackIllinois 2025
  • Surfaced human-centered coding solutions from Reddit and StackOverflow by building a search engine that combines NLP, FAISS, and Gemini for semantic similarity retrieval.
  • Built using Python, Flask, React, and Tailwind; integrated Reddit and StackExchange APIs; resolved semantic filtering challenges through vector-based similarity search.
Sandia Datathon
  • Analyzed brainwave data with Python, pandas, and Scikit-Learn to model bilingualism.
  • Visualized N400 ERP effects with Matplotlib and engineered repetition-based features to enhance classification.

Personal

outside of tech, I like to play sports (soccer, basketball), watch sports, go to the gym, play brawl stars, watch movies with my girlfriend, and travel!

Countries I've visited

States I've visited