🛠️ 3rd Year Computer Engineering @ UofT | Passionate about AI, embedded systems, and full-stack development. Always building, always learning.
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TheDailyCommuteMap
September 22, 2025 – September 22, 2025
C++ commuter-focused map application using EZGL and OpenStreetMap API. Features real-time pathfinding (A* & Dijkstra), subway/bike/traffic overlays, night mode, and step-by-step navigation
View ProjectLSTMStockMarketPredictor
August 2, 2025 – August 2, 2025
AI-powered Streamlit web app that forecasts stock prices using LSTM neural networks. Users can search tickers, view interactive trend charts, and generate 1- to 30-day forecasts using real-time data from Yahoo Finance. Built for educational use and exploration.
View ProjectKashan-Ahmad.github.io
July 18, 2025 – September 22, 2025
A responsive personal portfolio website built with HTML, CSS, and JavaScript. Showcases projects, experience, and skills with a modern design, dynamic light/dark mode toggle, and interactive portfolio popups. Optimized for smooth navigation and GitHub Pages deployment.
View ProjectspaceInvaders
July 17, 2025 – July 17, 2025
FPGA-based Space Invaders game built in Verilog for the DE1-SoC board. Features VGA output, PS/2 keyboard input, FSM-driven game logic, pixel-by-pixel character rendering, and real-time collision detection.
View ProjectlockPuzzle
July 16, 2025 – July 16, 2025
A retro-style game written in low-level C, running on an the DE1-SoC FPGA board used as a RISC-V processor. Utilizes VGA for graphics, PS/2 for input, and direct hardware-mapped I/O for audio. Built from scratch to explore embedded systems, hardware interfacing, and game design
View ProjectReversi
July 13, 2025 – July 13, 2025
A classic Reversi (Othello) game built in C with full game logic, move validation, and dynamic board updates. Features an AI opponent and competed against one of the smartest university-built AIs in a class-wide tournament. Focuses on clean logic and strategic gameplay.
View ProjectUniversity-Admission-Predictor
July 13, 2025 – July 13, 2025
Predicts a student's likelihood of university acceptance, waitlist, or rejection based on selected programs and online statistics. Built with Java and WindowBuilder for an interactive GUI tailored to Grade 12 applicants.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, demonstrating initiative and passion for technology. The projects range from web development to embedded systems and AI, indicating a broad interest in different technical domains. While the 'Data Scientist' target role aligns with the 'LSTMStockMarketPredictor' project, the overall project diversity suggests a generalist profile rather than a focused data scientist. The lack of team-based projects or professional experience makes it difficult to assess cultural fit within a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of independent learning and project execution. The diversity of projects suggests adaptability and a willingness to tackle varied technical challenges. However, without specific work experience or psychometric test results, it's difficult to assess team collaboration, stress handling, or direct operational fit.