First Nations University of Canada
First Nations University of Canada
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Jay Savaliya
Jay Savaliya
Learner
(1)
31
Resume
Jay_Savaliya_Resume_2025.pdf
Portals

Skills

Application programming interface (api) 2 Containerization 2 Docker compose 2 Docker (software) 2 Codebase 1 Databricks 1 Human readable 1 Language model 1 Sphinx documentation generator 1 Test automation 1 Unit testing 1

Achievements

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Level UP exit survey completion- February 2025 cohort
Issued by Level UP: February 2025
Awarded for sharing your feedback — your insights help us improve Level UP, and this badge recognizes your valuable contribution.
Completed on April 1, 2025
Level UP community builder - February 2025 cohort
Issued by Level UP: February 2025
Awarded for providing feedback at the end of a Level UP project.
Completed on March 31, 2025
Level UP Community Builder
Issued by Level UP: February 2025
Awarded for providing feedback at the end of a Level UP project.
Completed on March 31, 2025

Latest feedback

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James Northway
James Northway
He / Him
Chief executive officer
March 31, 2025
Individual endorsement
Docker compose Docker (software) Application programming interface (api) Containerization Databricks

Jay was an asset to our project. His timely work, clear communication, and commitment to excellence greatly contributed to our success. We appreciate his impressive efforts and dedication.

Learner feedback
Jay was an asset to our project. His timely work, clear communication, and commitment to excellence greatly contributed to our success. We appreciate his impressive efforts and dedication.
Unit testing Docker compose Docker (software) Language model Codebase Test automation Application programming interface (api) Containerization Human readable Sphinx documentation generator
Riipen Level UP 🚀
Level UP: February 2025
Riipen Level UP 🚀
AIModels Tech Inc.
Resume Filter API Server
AIModels Tech Inc.

Recent projects

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AIModels Tech Inc.
AIModels Tech Inc.
New Westminster, British Columbia, Canada

Resume Filter API Server

This project aims to develop an advanced Resume Filtering API server that allows users to upload resumes, stores them in a vector database (ChromaDB), and performs semantic searches based on job descriptions or required skills. The system will integrate OpenAI for generating embeddings, summaries, and explanations for the resume matches. It will be built using Flask for the API server and containerized using Docker and Docker Compose. Sphinx will handle documentation, and Pytest will be used for automated testing.

Matches 1
Category Software development + 2
Open

Work experience

Networking Lab Technician
SAIN Lab - Ontario Tech University
Oshawa, Ontario, Canada
May 2024 - August 2024

As a networking lab technician, I primarily focused on developing a passkey study website using HTML/CSS, Node, Express, & MySQL. I also aided in the development of Master's and PhD students with their websites and research. I also maintained the webserver and bought and configured domains to host the websites to complete the studies.

Personal projects

Point Perfect
February 2025 - February 2025
https://github.com/Jay0496/Vision-Assist

An app that helps the visually impaired recognize objects in their surrounding. First, it recognizes the user's hand and what they are pointing at, determines the object, and then says it orally. It uses two pre-trained models (MediaPipe and YOLO) in conjunction. The app is a prototype that needs to be edited to run on phones.
JobSphere
October 2024 - December 2024
https://github.com/parth49patel/Database

This was a database project that involved planning and implementing the database structure using ER and schema diagrams. The implementation involved HTML/CSS, Bootstrap, Flask, and MySQL. I also used Flask-login to manage user sessions and permissions for parts of the website based on whether they signed in or not.
Scholar Link
October 2024 - October 2024
https://github.com/supreme-gg-gg/scholar-link

Research can be overwhelming. Our app revolutionizes the research process by leveraging cutting-edge AI to visualize connections between papers in a force-directed graph. This groundbreaking approach empowers researchers to effortlessly uncover intricate relationships, spot emerging trends, and gain profound insights that were previously hidden. By transforming complex data into intuitive visualizations, we are setting a new standard for academic research and discovery.

Features
Interactive Graphs: Visualize paper connections through co-citation and bibliographic coupling.
Trend Analysis: Spot trends with keyword and activity analysis.
AI Summarization: Get concise summaries of papers.
AI Chatbot: Ask questions and get answers about research papers.
Diverse Data: Access a wide range of papers from open-source databases.

Tech Stack
NLP: KeyBert and Hugging Face for content analysis and summaries.
Graph Theory: Advanced algorithms for optimized graphs.
Front-end: React.js for a smooth user experience.
Back-end: Flask and Python for data handling and AI integration.
Data Collection: Web scraping tools for academic databases.
Streamlit: Fast deployment for dynamic diagrams and AI ChatBot.