I am currently pursuing my MSc in Computer Science at Ontario Tech University, specializing in Anomaly Detection through Deep Learning methods and Computer Vision. With a strong foundation in both theoretical and practical aspects of machine learning, I am passionate about leveraging cutting-edge technologies to address real-world challenges.In addition to my academic pursuits, I bring over 3 years of professional experience as a Software Developer in the domains of Web and Mobile Application development. This practical exposure has equipped me with a comprehensive understanding of software engineering principles, enabling me to bridge the gap between theory and application seamlessly.I am enthusiastic about contributing to innovative solutions that intersect both my research interests and practical expertise. My academic journey and industry experience uniquely position me to tackle challenging problemsExpertise:Languages: Python, Javascript, C, C#, C++, PHPWeb/Mobile: HTML, CSS, Javascript, ReactJs, Angular, Gatsby, ES6, TypeScript, React Native, Flutter, Material UI, Bootstrap, .Netcore, Kendo, Firebase, Netlify, ContentfulDatabase: MySQL, MongoDB, FirebaseVersion Controlling: Git, GitLab, BitBucketTools: Jira, Basecamp, Trello, ClickupPersonal Interests:I love traveling, singing, and creating content for my YouTube channel and Tech Blog.Link to my channel: https://www.youtube.com/nehaejaz29Link to my Blog: https://techgirl.hashnode.dev/
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Ai ConsultantGliaSaint Thomas, On, Ca -
Software EngineerFreelance Sep 2024 - PresentOntario, CanadaI am currently engaged in the development of an AI-powered asset maintenance system, which represents phase one of a larger project. This system is designed to enhance the efficiency and accuracy of asset management through automation and AI-driven insights.The first phase involves building a robust backend and frontend system to manage asset data. This includes designing the architecture using React.js for the frontend, ensuring a seamless user experience with Material UI and React Query to manage state and data fetching efficiently. On the backend, I utilize Firebase for database management, authentication, and hosting, ensuring the application is secure and scalable.As we progress into phase two, I will be developing a Retrieval-Augmented Generation (RAG) chatbot. This chatbot will act as an intelligent inspection companion, capable of answering asset-related questions by leveraging advanced AI techniques such as Large Language Models (LLMs) and LangChain for natural language processing. This will allow real-time, context-aware responses, enhancing the inspection and maintenance process for assets.The chatbot’s goal is to assist users in identifying potential issues, provide maintenance recommendations, and answer specific queries related to the assets, thus optimizing asset upkeep and reducing downtime.
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FounderCoding Champs Mar 2023 - PresentOntario, CanadaCoding Champs is an online coding school that provides a safe and fun platform for kids of age 7-15 to learn to code and prepare them for the future of technology with our interactive courses ranging from Beginner level to advance level.www.codingchamps.ca -
Teaching AssistantOntario Tech University Jan 2022 - PresentOshawa, Ontario, CanadaResponsibilities: Conduct lab tutorials, create explanatory engaging content for students, mark lab assignments, midterms and final exams. Courses I have taught: CSCI 2050U - Computer ArchitectureCSCI 2020U - Software Systems Development and IntegrationCSCI 1060U - Programming WorkshopCSCI 1030U - Intro to Computer ScienceCSCI 3240U - Computer PhotographyCSCI-2010U - Data StructuresCSCI 4210U - Information VisualizationCSCI-2160U - Digital Media -
Research AssistantOntario Tech University Jan 2022 - May 2024Oshawa, Ontario, CanadaWorking as a Graduate Researcher at VC Lab (Visual Computing Lab) under the supervision of Dr. Faisal Qureshi. -
Ai DeveloperMagnify Access Inc. Jan 2024 - May 2024CanadaAs an AI Developer specializing in document accessibility, I am at the forefront of developing advanced document classification systems that comply with Web Content Accessibility Guidelines (WCAG). My current focus involves utilizing the LayoutLM model, which leverages both text and layout information to enhance the performance of document classification tasks, particularly in the context of accessibility.This initiative includes implementing state-of-the-art techniques for PDF tag detection and automated tagging, which are critical for ensuring that documents are accessible to all users, including those with disabilities. Through this work, we aim to significantly improve the ease of document accessibility compliance and set new standards in the field. -
Machine Learning InternAxiom Group Inc. Jan 2022 - Apr 2023Aurora, Ontario, CanadaDeveloped a robust image processing system for automated visual anomaly detection in industrial parts, leveraging a category-agnostic, few-shot learning approach. Achieved a high accuracy of 92.67% on the widely recognized MVTec AD dataset using only 8 support images, significantly enhancing the efficiency of quality inspection processes -
Analyst Software EngineerPakistan Single Window (Psw) Jul 2021 - Oct 2021Karāchi, Sindh, Pakistan -
Software DeveloperErly Stage Studios Aug 2019 - Jun 2021 -
Software Developer InternErly Stage Studios May 2019 - Jul 2019
Neha Ejaz Skills
Neha Ejaz Education Details
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Computer Science -
Computer Science
Frequently Asked Questions about Neha Ejaz
What company does Neha Ejaz work for?
Neha Ejaz works for Glia
What is Neha Ejaz's role at the current company?
Neha Ejaz's current role is AI Consultant.
What schools did Neha Ejaz attend?
Neha Ejaz attended Ontario Tech University, Ned University Of Engineering And Technology.
What skills is Neha Ejaz known for?
Neha Ejaz has skills like Web Development, React.js, Public Speaking, Javascript, Videography, Cascading Style Sheets, C++, Html, Object Oriented Programming, Html5, Bootstrap, Mysql.
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