Hi, I’m Fahad Ashraf. I’m a full-stack developer focused on backend systems and AI-powered applications, building and deploying end-to-end solutions with FastAPI, React, and Next.js. I’ve delivered projects like a RAG-based document chatbot, a WebAR product viewer, and real-time social platforms, and I’ve helped improve accessibility across large-scale public websites. I’m passionate about turning complex requirements into practical, deployed systems. I blend strong API design, LLM integration, and robust DevOps practices to create maintainable, scalable software, while collaborating with IT and design teams to ensure accessible, user-friendly experiences.

Fahad Ashraf

Hi, I’m Fahad Ashraf. I’m a full-stack developer focused on backend systems and AI-powered applications, building and deploying end-to-end solutions with FastAPI, React, and Next.js. I’ve delivered projects like a RAG-based document chatbot, a WebAR product viewer, and real-time social platforms, and I’ve helped improve accessibility across large-scale public websites. I’m passionate about turning complex requirements into practical, deployed systems. I blend strong API design, LLM integration, and robust DevOps practices to create maintainable, scalable software, while collaborating with IT and design teams to ensure accessible, user-friendly experiences.

Available to hire

Hi, I’m Fahad Ashraf. I’m a full-stack developer focused on backend systems and AI-powered applications, building and deploying end-to-end solutions with FastAPI, React, and Next.js. I’ve delivered projects like a RAG-based document chatbot, a WebAR product viewer, and real-time social platforms, and I’ve helped improve accessibility across large-scale public websites.

I’m passionate about turning complex requirements into practical, deployed systems. I blend strong API design, LLM integration, and robust DevOps practices to create maintainable, scalable software, while collaborating with IT and design teams to ensure accessible, user-friendly experiences.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Web Editor Assistant at Government of Manitoba
May 1, 2023 - September 1, 2023
Led accessibility audit and remediation of 1,700+ public webpages, achieving full WCAG 2.0 Level AA compliance under The Accessibility for Manitobans Act. Developed custom JavaScript, CSS, and HTML solutions to resolve layout and rendering issues across complex CMS structures. Conducted metadata audits and cleanup across hundreds of pages, improving content accuracy and maintainability. Established an iterative update workflow with IT Services, ensuring validated changes and reliable version-controlled rollbacks via SharePoint. Managed high-volume CMS updates, collaborated with IT Services on change requests, and delivered training sessions for internal web editors. Diagnosed and remediated recurring formatting issues, improving consistency and usability across large-scale public web content.

Education

Bachelor of Science in Computer Science at University of Manitoba
January 11, 2030 - October 1, 2023

Qualifications

Microsoft AI & ML Engineering Professional Certificate
February 1, 2026 - May 19, 2026
Meta Full-Stack Developer Certificate (Front-End & Back-End)
February 1, 2026 - May 19, 2026
AWS Cloud Technical Essentials
August 1, 2023 - May 19, 2026
Jenkins: Automating Your Delivery Pipeline
August 1, 2023 - May 19, 2026

Industry Experience

Software & Internet, Government, Professional Services, Education
    uniE621 AI Document Chatbot (RAG) – Chat with PDFs, DOCX & Websites
    Developed a full-stack AI chatbot using RAG that allows users to upload PDFs, DOCX files, or URLs and ask questions about their content. The system retrieves relevant information and generates accurate, context-aware answers with source references. Designed as a reusable solution that can be integrated into websites or applications. The AI layer is configurable, allowing different LLMs or providers based on requirements. Suitable for website chatbots, customer support, knowledge base search, and internal documentation systems. AI Chatbot AI Implementation React API Integration FAISS VectorDatabase FullStack
    uniE608 AR Menu – Web-Based Augmented Reality Product Viewer
    Developed a browser-based Augmented Reality (WebAR) product viewer that allows users to preview items in real space before ordering — directly from the web with no app installation required. The experience supports mobile AR on iOS Safari and Android Chrome using 3D models and interactive controls. Designed for restaurant menus and scalable to retail, furniture, and product visualization use cases, with graceful handling of in-app browser limitations. WebApplicationDevelopment TypeScript WebAR AugmentedReality React Node.js