Krutarth Patel.

Aevo Course Planner

Link: GitHub

Tools: Python, Flask, React, JavaScript, Node.js, pytest, HTML, CSS, Bootstrap, JSON, Git

• Developed a course planner full-stack web application to support 6000+ courses offered throughout UofT campuses
• Utilized Flask for back-end, React for front-end, and JSON database to facilitate search, view, modify, and schedule courses
• Deployed unit testing and integration testing with pytest to ensure effective operation of different modules and functionalities
• Achieved quick automated deployments using a DevOps approach by integrating GitHub Actions to establish CI/CD pipelines
• Engaged in the software development lifecycle (SDLC) process (sprint planning, stand-ups, and retrospectives) to ensure smooth development, testing, deployment, and elevate team collaboration

Ensemble Learning Credit Card Fraud Detection

Tools: Python, TensorFlow, Scikit-learn, Pandas, NumPy, Jupyter

• Leveraged ensemble machine learning techniques to accomplish ~95.9% overall accuracy in credit card fraud detection
• Implemented AdaBoost with decision trees model to yield low false positive rate
• Incorporated various tools to clean, process, and train data from an IBM dataset with 24 million transaction data

Geographic Mapping Software

Tools: C++, OpenStreetMap API

• In a team on 3, created a mapping software similar to Google Maps using C++, EZGL graphics library, and OSM database
• Used multiple data structures and algorithms to make it fast and efficient in managing and utilizing over 20 million data point for over 10 cities
• Utilized Dijkstra and A* algorithm to solve pathfinding and travelling salesman problem
• Designed and implemented a graphical user interface to represent info

Good Pizza | RU Hacks 2019 (Challenge Winner)

Link: GitHub

Tools: Python, HTML, CSS, JavaScript, TensorFlow

• Developed an AI model to visually assure quality of the pizza based on picture
• Concept can be used for other foods/products in many other industries
• Utilized Google Vision AI to help identify photos

JPMorgan Chase Software Engineering Project

Tools: Python, JavaScript, React

• Utilised Python to manage and compare stock prices
• Used JPMorgan Chase frameworks and tools to manage data
• Used React to visualize data

Music Recommendation System

Tools: Python, Scikit-learn, Jupyter

• Developed a music recommendation using Python Scikit-learn, and Jupyter notebook
• Used training data to ensure accurate results
• Utilised Scikit-learn to make correct predictions

Othello AI Game

Link: GitHub

Tools: C

• Developed a successful 1 and 2-player Othello game.
• Implemented Minimax and Greedy algorithm that chooses the best move for any board size under 1 second for 1-player AI match.

Dino Runner

Tools: C, ARM Assembly, DE1-SoC FPGA

• Developed a functional dino runner game using C and ARM assembly
• Implement PS2 and board inputs to control the game
• Utilised display buffers and memory to output graphics

Messaging App

Tools: C

Developed a functional messaging app with group messaging functionality, facilitated through network sockets

Portfolio Website

Link: GitHub

Tools: HTML, CSS, JavaScript, Bootstrap

Designed and developed a functional responsive personal website to showcase my skills, experience, and projects.

Matplotlib Open-Source GitHub Contribution

Tools: Python, GitHub