Hello, I'm Khash. Welcome to my digital portfolio! I'm thrilled to have you here to explore my journey through a range of projects, research, and innovations in the dynamic world of technology.
About me
I am currently pursuing my Master of Science in Applied Computing at the University of Toronto and have completed my Bachelor's degree in Software Engineering. My research interests lie in optimizing deep learning models for spatio-temporal data, with applications in remote sensing and telecommunications. As a research assistant, I have contributed to projects focused on implementing and optimizing algorithms, particularly for tracking land cover changes such as deforestation. With over four years of experience in full-stack web development, I am skilled in building dynamic and efficient web applications. I am dedicated to finding innovative solutions to real-world problems and eager to take on new challenges.
My Projects
Onyva
ViewOnyva helps users plan outdoor trips like hiking, camping, and running. It supports group communication, full trip planning, expense calculation, bookings, and optimized routes. The app also suggests future trips based on past activities and factors in real-time weather.
- NextJS
- PostgreSQL
- MongoDB
- NestJS
- Docker
Lake Harvest
ViewDeveloped a data pipeline that processed terabytes of global satellite imagery for lake research. The pipeline managed data ingestion and storage on a self-hosted database. Additionally, I designed and developed a web application for querying and exporting the persisted data.
- Google Earth Engine
- Python
- MongoDB
- NextJS
- Docker
- Nginx
My Skills
- Python
- Pytorch
- TypeScript
- Google Earth Engine
- Linux
- Docker
- PostgreSQL
- MongoDB
- Kubernetes
- React/Next.js
- C#/.Net Core
My education
Master of Science in Applied Computing - AI concentration
University of TorontoToronto, Ontario
Courses:
- - Neural Networks and Deep Learning
- - Deep Learning: Theory and Data Science
- - Causal and Moral Reasoning with LLMs
- - Vector Databases and Unstructured Data Query Processing
Bachelor of Software Engineering
Concordia UniversityMontreal, Quebec
Courses:
- - Data Structures and Algorithms
- - Machine Learning
- - Data Communication and Computer Networks
- - Database Systems
- - Operating Systems
- - Software Architecture and Design
Computer Science (Career Diploma)
John Abbott CollegeMontreal, Quebec
Through my studies, I have gained extensive experience in web and mobile development, databases and networking.
My experience
Research Assistant
McGill University (CardilleLab)Monteal, Quebec
Actively contributing to pioneering projects in the field of computational ecology. Past projects include:
- - Developed a robust data pipeline to process and store terabytes of global satellite imagery focused on lakes
- - Implemented an Extended Kalman Filter to keep continual track of the expected values of satellite imagery
- - Applied machine learning techniques to fine-tune algorithm parameters for improved performance and accuracy
- - Designed and implemented various algorithms that performs supervised and unsupervised landcover classification using Bayesian methods
- - Containerizing and deploying multiple web applications and databases on a self-hosted server
- - Designing and implementing user interfaces
Full-Stack Developer Intern
GenetecMontreal, Quebec
Contribute to the development of a cloud-based SaaS application. Tech stack includes: Angular, TypeScript, .NET Core, Azure Storage, Azure Service Bus, Azure Service Bus. Tasks include:
- - Front-end development (Angular)
- - Back-end development of microservices (.NET Core)
- - Bug investigation and fixes
- - Writing quality code following the CLEAN architecture
- - Unit and integration testing
Contact Me
Please contact me at directly at khashzd@gmail.com or through this form.