Nethanel Reta
Learner
(1)
33
Portals

Skills

Application programming interface (api) 2 Cloud computing 2 Data processing 2 Docker (software) 2 Github 2 Git (version control system) 2 Kubernetes 2 Microsoft azure 2 Mysql 2 Server-side 2 Algorithms 1 Artificial intelligence 1 Natural language processing (nlp) 1 Proposal writing 1 User feedback 1 User interface (ui) 1

Achievements

Latest feedback

Recent projects

Saige
Saige
Vancouver, British Columbia, Canada

Saige Software Developer Project 2

The goal of this project is to design, develop, and maintain web applications for Saige, a dynamic and innovative tech company specializing in cutting-edge software solutions. This will involve several different steps for the students, including: - Utilizing React.js to build user-friendly and responsive web interfaces. - Developing server-side logic using Python to handle requests, data processing, and integration with databases. - Designing, optimizing, and maintaining MySQL databases. - Creating and maintaining RESTful APIs to facilitate communication between the front-end and back-end components of our applications. - Conducting thorough testing of software components, identifying and addressing bugs and performance issues, and implementing solutions. - Collaborating with cross-functional teams to understand project requirements, provide technical insights, and contribute to the overall success of the project. - Creating and maintaining clear and comprehensive technical documentation for code, APIs, and databases. - Implementing security best practices to safeguard data and protect against potential vulnerabilities.

Matches 4
Category Website development
Open
FindGrant
FindGrant
Toronto, Ontario, Canada

AI-Powered Grant Proposal Assistant

FindGrant aims to streamline the grant proposal writing process by developing an AI-powered tool that assists users in crafting compelling and effective grant proposals. The project involves creating a prototype of an AI tool that can analyze grant requirements, suggest relevant content, and provide feedback on proposal drafts. The tool should leverage natural language processing (NLP) to understand and generate human-like text, making it easier for users to articulate their ideas clearly and persuasively. The goal is to reduce the time and effort required in writing grant proposals while increasing the chances of success. The project will focus on integrating AI capabilities with user-friendly interfaces to ensure accessibility for users with varying levels of technical expertise. Key tasks include: - Researching existing AI tools and techniques for natural language processing. - Designing a user interface that is intuitive and easy to navigate. - Developing algorithms that can analyze and generate text based on grant requirements. - Testing the prototype with sample grant proposals to evaluate its effectiveness.

Matches 4
Category Artificial intelligence + 4
Open

Work experience

Deep Learning Preception Member
University of Toronto Formula Racing Team
November 2024 - Current

- University of Toronto Formula Racing Team Toronto, On
• Collaborated with the Optimization sub-team to enhance the performance of YOLOv models for autonomous
driving.
• Conducted research on GPU-accelerated processing techniques, exploring the use of CuPy and PyTorch to
optimize YOLOv models pre-processing and post-processing pipelines.
• Provided research findings that will guide the implementation of GPU acceleration, transitioning computations
from CPU to GPU to enhance efficiency.

Personal projects

Full-Stack MERN Application Development
January 2025 - Current
https://github.com/nati5174/mern-cc

- MongoDB, Express, React, Node.js
• Building a full-stack MERN application to develop dynamic and responsive web apps from scratch.
• Developed RESTful APIs for CRUD operations using Express and Node.js
• Will be working on adding the front-end interface with React, and connecting MongoDB
• Project based on a YouTube tutorial for full-stack MERN development.

Next-Intern.ai
January 2025 - February 2025
https://github.com/nati5174/Next-Intern.ai

LangChain, Pinecone DB, OpenAI, Python, Streamlit, PDF
• Built a web app to help students generate tailored resumes, cover letters, and prepare for tech interviews.
• Integrated LangChain and OpenAI GPT-4 to generate custom resumes and cover letters based on job
descriptions.
• Stored tech-related questions and solutions using Pinecone DB, along with LangChain to query Pinecone
database, providing questions and solutions to users.

CodeLens
December 2024 - Current
https://github.com/nati5174/CodeLens

• Developing a Flask-based web app to capture images of handwritten text and convert them into digital PDFs, with
desired use for handwritten code.
• Implemented user authentication with Flask and SQLite, along with uploading feature for images
• Currently developing a CNN-LSTM-CTC model for accurate recognition of handwritten code.

Planetze
November 2024 - December 2024
https://github.com/A-Skvortsov/Planetze

Java, XML, Firebase, Jira, Agile
• Collaborated with a team of 5 to develop a full-stack Android app, for the company, Planetze
• Utilized Agile (Scrum) methodology by participating in daily standup meetings to track progress on user stories
and maintain team alignment.
• Implemented front-end and back-end features for the Eco Hub and Eco Balance, enabling tracking of carbon
footprints and exploring offset projects.
• Selected as one of the top three projects for presentation to the company for potential implementation.