Available for opportunities

Devansh Goyal

Computer Engineering Student

"I live life to make the unconventional conventional"

I build innovative software solutions that bridge the gap between complex engineering problems and user-friendly experiences. Currently pursuing Computer Engineering at Queen's University with a passion for AI/ML and full-stack development.

📍 Mississauga, Ontario
🎓 Queen's University
💻 Full-Stack Dev
Devansh Goyal

About Me

Hey! My name is Devansh Goyal, and welcome to my site! I study Computer Engineering at Queen's University and am originally from Mississauga, Ontario. I have experience in software development, with an aptitude in the field of machine learning.

I have an ever-growing interest in hardware, and I aspire to build technical projects that integrate both fields of hardware and software. I enjoy experimenting with new technologies in the world of engineering and building impactful projects that have a positive impact on society.

I am always interested in collaboration-based projects, which is why I consistently attend hackathons. I'm always down to working with new people, if you are interested in collaborating or simply want to have a chat, please reach out! Let's build something cool and life-changing together!

Experience

Software Engineering Intern

Mantra Collab

July 2025 - August 2025
Mississauga, Ontario
  • Developed a FinTech application using TypeScript, Next.js, React.js, Node.js, and MongoDB to enable users with expense management, financial literacy, and budgeting tools.
  • Enhanced user data security by deploying a JWT authentication service and MongoDB schemas by encrypting fields, effectively storing user information.
  • Boosted user engagement by designing an interactive dashboard and engineering a RESTful API for real-time and feasible usage.
TypeScriptNext.jsReact.jsNode.jsMongoDBJWT

Machine Learning Intern

CoolR Group

July 2024 – August 2024
Mississauga, Ontario
  • Fine-tuned and trained a chatbot using company documentation and PyTorch, resulting in real-time and authentic responses to user queries.
  • Built a vector search pipeline using the Cohere API and Annoy Index, enabling an efficient and intelligent similarity search system within the company database.
  • Engineered a Flask backend to handle user queries and incorporate the chatbot model with the vector search pipeline, resulting in a scalable API service for real-time query handling.
PyTorchFlaskCohere APIAnnoy IndexPython

Featured Projects

A showcase of projects that demonstrate my passion for solving real-world problems through innovative technology solutions.

CiviClinic

May 2025

Created CiviClinic to address healthcare inefficiencies by using machine learning for patient diagnosis through image processing and NLP. The system matches patients with appropriate doctors and provides medical advice, potentially reducing ER wait times by classifying non-critical patients.

Impact

Reduced ER wait times by classifying non-critical patients using AI, ensuring that 1 in 7 unnecessary ER patients can take care of themselves without medical support.

FlaskHTMLCSSPyTorchTensorFlow

Volunteer Hub

July 2025

Built to bridge the gap between students and extracurricular opportunities by providing personalized and easy-to-navigate activities through an interactive map-based frontend. Used web scraping to gather and filter relevant activity data.

Impact

Connected students with personalized extracurricular opportunities through intelligent filtering and interactive mapping.

PythonSeleniumReact.jsFlaskTailwind CSS

GrowTogether

2024

Built a modern Flask app with leaderboard, map, and community features using Python, SQLAlchemy, and real gardening data.

Impact

Created a community-driven platform that gamifies urban gardening and promotes sustainable living through technology.

PythonHTMLCSSSQL

Vanilla Neural Network

2024

Applied calculus and linear algebra concepts to implement the movement of neurons manually and calculate gradients and change network weights using optimization. Received a final validation error of <0.5, resulting in feasible and precise predictions of a student's GPA.

Impact

Achieved <0.5 validation error in GPA predictions using pure mathematical implementation without ML libraries.

PythonMathProblem Solving

LLM from Scratch

2024

Faced challenges with data quality and model output, but learned a lot about the intricacies of LLMs and enjoyed the process.

Impact

Gained deep understanding of transformer architecture and language model training through hands-on implementation.

PyTorchPythonNLP

Technical Skills

A comprehensive toolkit for building innovative solutions across the full technology stack.

Languages

PythonJavaJavaScriptTypeScriptHTML/CSSSQLC++C

Libraries and Frameworks

FlaskReact.jsNode.jsNext.jsSvelte.jsPyTorchTensorFlowNumPy

Databases

MongoDBPostgreSQLMySQLSQLite

Tools

GitGitHub

Hardware

ArduinoRaspberry PiBreadboardsMultimeterOscilloscope

Hobbies & Interests

In my nonexistent free time, you can find me enjoying these activities!

Music

Soccer

Coding

Origami

Badminton

Doomscrolling

Career Aspirations

Areas I'm passionate about exploring in my career journey

Future Goals

Software Development
Machine Learning
CPU Design
Embedded Systems
Product Management
Quantative Finance
Data Analysis

"The future belongs to those who believe in the beauty of their dreams."

- Eleanor Roosevelt

Let's collaborate

Let's Connect

I'm always excited to discuss new opportunities, collaborate on interesting projects, or just chat about technology and innovation. Feel free to reach out!

Get in Touch

Location

Mississauga, Ontario

Follow My Journey

Stay updated with my latest projects, thoughts on technology, and engineering adventures.

Send Me a Message

Ready to build something amazing together?