About
I am Jaineel Modi, a Second-year Queen's University student studying Computer Science with a specialization in Artificial Intelligence.
Computer/Software Engineer.
I aspire to one day become a software engineer...
- Institution: Queen's University
- Phone: 647-274-5055
- City: Toronto, Ontario
- Degree: Bachelor of Computing
- Email: Jaineelmodi04@gmail.com
- Freelance: Available
I am a dystopian book lover, a volleyball player, a ramen noodles connoisseur, and most profoundly a programming fanatic. I was five years old when for the first time I'd touched a computer. It was incredible that a single device had an entire world with endless possibilities. Ever since then, I have committed hours watching videos, discovering new applications, and exploring the web. Today, my use of computers includes connecting to friends halfway across the world, teaching programming to high school students, and developing projects for hackathons.
Facts
Here are some of the many fun facts of mine regarding my jobs, projects, clubs, and awards
Interships more then a year of industry experience
Start-Ups Tossit, K.A.P and EcoPins
Hackathons 24 and 32 hours
Countries Seen from North America, South America, Europe, and Asia
Skills
Here is how my peers and I would rank my technical skills. I have additionally been commended by teachers for having profound characteristics skills in Teamwork, Communication, Public Speaking, Problem-Solving, and Leadership.
Resume
Here is a brief summary of some of my many accomplishments throughout my career.
Summary
Jaineel Modi
A collaborative and problem-solving computer programmer with 12+ months of experience designing and developing projects used by individuals all around the world.
- Toronto Ontario Canada
- (647)-274-5055
- Jaineelmodi04@gmail.com
Education and Extracurriculars
Bachelor of Computing
2023 - 2027
Queen's University
- Specialization in Artificial Intelligence
- Courses: Data Structures, Databases, Software Specifications, and more
Start-Ups
Tossit
2022 May - 2023 February
- Developed and designed a machine learning application using React, Python, Node.js, and Expo to classify waste from images, improving recycling efficiency.
- Utilized the VGG16 supervised image classifier with TensorFlow, achieving 97% accuracy in waste categorization.
Professional Experience
Mulvey & Banani International Inc - AI Development Summer Intern
2024 June - August
- Collaborated with the AI development team to design and generate architecture blueprint diagrams using Python, C#, and .NET, which boosted productivity by 20% and reduced project time by 26 hours on average.n
- Automated the placement of 250+ electrical components (e.g., lighting fixtures, receptacles, security alarms) in Revit models using the Poisson Disk Sampling algorithm, cutting manual intervention by 40%.
ConverseCart - AI Development Intern
2024 January - May
- Developed an AI-driven shopping interface using K-Nearest Neighbors and deep learning neural networks, providing personalized recommendations that increased conversion rates by 18% and average order value by 25%.
- Enhanced data processing efficiency by 30% through dimension reduction, feature selection, and data pruning.
Projects
HackerRunner
2022 May - June
- Engineered player movement, shooting mechanics, and physics system in Unity using C#, ensuring smooth and engaging gameplay.