Mick Enev

Chicago, Illinois

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Education

Master's of Computer Science

University of Illinois Urbana-Champaign

GPA: 4.0

Bachelor's of Economics

University of Illinois Urbana-Champaign

GPA: 3.62

Stack

Python

C++

JavaScript

HTML

CSS

React

Java

MySQL

MongoDB

R

Projects

Database Dashboard

Description: This application is designed for faculty to explore research areas and manage personal research keywords. It shows users popular keywords and their relations to different research areas.

- Engineered a comprehensive database dashboard in Python, integrating MySQL, MongoDB, and Neo4j to provide real-time data visualization and management, increasing data retrieval efficiency by 35%.

- Implemented multi-database querying, optimizing cross-database data retrieval and reducing query response time by 50%.

- Leveraged SQL views to simplify complex queries, further boosting data retrieval speed by 20-50%.

Technologies Used

Python

JavaScript

HTML

CSS

MySQL

MongoDB

Neo4j

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Dash

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Tower Defense Game

Title: Out of Time

Description: You are a time traveler who has been transported far into the past. You must repair your time machine in order to return to the present, but you are under attack by an onslaught of enemies. You must defend your time machine long enough to travel forward in time. Each level you are able to repair it enough to travel a little bit farther in time.

- Led a team of five in building a fully-functional tower defense game using Unreal Engine 5.

- Engineered advanced game mechanics and AI behavior using C++ in Unreal Engine 5, resulting in immersive gameplay with increasing difficulty.

- Organized group meetings and delegated responsibilities, ensuring timely project delivery.

Technologies Used

UE5

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Android Weather App

Description: Weather app that allows for user authentication and stores data using Firebase. Provides a map of the selected city, weather information, and weather insights provided by Gemini.

- Developed an AI-powered Weather App using Java and Android Studio, integrating real-time weather APIs to provide accurate forecasts for 10,000+ U.S. cities, increasing user engagement by 40%.

- Engineered advanced data processing algorithms to enhance forecast accuracy and enable AI-driven responses to user queries with 95% precision, leveraging seamless API integration.

- Designed and implemented a custom caching system, reducing API call frequency by 30%, optimizing performance, and minimizing user data usage

- Integrated Firebase for authentication and data storage, ensuring secure user management and efficient data retrieval while enhancing app scalability.

Technologies Used

Android Studio

Java

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AI Resume Analyzer

Description: An app that parses your resume and uses AI to give you relevant feedback on your fit for a certain job and how you can improve your chances of getting hired.

- A full-stack application that analyzes user resumes and job descriptions to evaluate job fit using LLM-based feedback.

- Built a Flask backend to process uploaded resumes (PDF) and extract skills using text parsing and NLP techniques.

- Integrated PyMuPDF to extract structured text from resumes and React for a user-friendly file upload interface.

- Designed a REST API that sends parsed skills and job descriptions to an LLM for feedback, providing a detailed job fit analysis.

- Implemented a responsive React frontend with Markdown-based result rendering for better readability.

Technologies Used

Python

Flask

React

JavaScript

HTML

CSS

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Pokemon React App

Description: A react app that uses the PokeApi to display information about requested pokemon, moves, items, and locations from the Pokemon games.

- Utilizes custom react hooks to fetch and display data.

- Uses multiple components to give the app a clean and responsive feel.

Technologies Used

React

JavaScript

HTML

CSS

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Narrative Visualization

Description: An interactive visualization designed to explore link between engine cylinders and fuel efficieny.

- Implementrs D3 framework complete with scenes, transitions, and triggers.

- Uses martini glass structure to convey message then allow user exploration.

Technologies Used

JavaScript

HTML

CSS

Plotly Logo

D3

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Weightlifting Tracker

Description: An app that allows users to track their lifts. It allows users to log exercise, weight, reps, set number, and reps in reserve. The app allows users to create custom exercises and stores all exercise and workout data in an SQL database.

- Built a Fitness Logbook Application that tracks user workouts and maintains data integrity with 100% accuracy, utilizing an SQL database and ensuring seamless fronted-backend communication through Flask API.

- Handles CRUD operations and seamlessly integrates with the JavaScript frontend for efficient datamanagement, leveraging Python for backend processing.

Technologies Used

Python

JavaScript

HTML

CSS

MySQL

WeightliftingApp-Picture

Experience

Computer Science AI Trainer

OutlierAI

January 2024 - Present

- Optimized AI-generated responses, leveraging Python, JavaScript, and C++ to enhance efficiency and improve AI model accuracy.

- Reviewed and validated 100+ AI-generated programming responses, ensuring 90%+ accuracy in code solutions to enhance model performance

- Conducted in-depth analysis of Large Language Model responses to programming-related prompts, identifying patterns to refine AI outputs

- Debugged and refactored code using test-driven development, ensuring a 100% functional final product with improved reliability and performance.

Front Desk Sales Representative

Crunch Fitness

August 2022 - May 2024

- Helped customers decide on an appropriate membership level for their health and fintess goals.

- Maintained a clean and well functioning gym improving cleanlieness by 100%.

Research Analyst Intern

American Energy Society

February 2023 - May 2023

- Conducted extensive research on global university energy programs, enhancing analytical skills in data collection and synthesis.

- Collected and analyzed data on 20+ global university energy programs, compiling insights into an Excel database to support decision-making.

- Collaborated with a cross-functional team of 12+ individuals to deliver data-driven insights.

Computer Science Course Assistant

University of Illinois Urbana-Champagin

August 2022 - December 2022

- Mentored students in complex algorithmic problem-solving, resulting in a 30% increase in successful project completions and a stronger grasp of data structures and OOP principles.

- Led weekly office hours, assisting 30+ students with debugging and feature implementation for their semester projects.

- Provided guidance on building key features, including a dynamic restaurant recommendation system, user-customized favorites lists, and interactive map-based restaurant displays.

Sales Associate

The Home Depot

January 2022 - August 2022

- Lead customers to the products they were looking for in a timely manner.

- Imrpoved stock upkeep by over 50%.