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Schedule Interview NowMy name is Ryan W. and I have over 9 years years of experience in the tech industry. I specialize in the following technologies: Shopify, React, node.js, JavaScript, Shopify Apps, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I’ve worked on include: Computer Vision identifying computer chips, Atlascapco Chatbot - increase conversion of visitors to leads, AI.Energy - automating mining engineers task to save them 2 mil cost, Cynario - AI Chatbot for Financial Insights, AI-Powered Learning Management System for Enhanced Education, etc.. I am based in Toronto, Canada. I've successfully completed 38 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
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We got contacted by SIMS to help with their QA problem. Basically their employees job is to remove chips from motherboards and recycle the servers. A lot employees get lazy and forget to recycle it. When their client finds out, they get fined for it. We created a computer vision software with a custom model to identify when chips are left in there and when they are not so they can automate the quality assurance of their employee and not get fined. They deployed this to many of their factories
We got approached by Atlascapco to make a chatbot to handle people's inquiry and direct them to the right sale team number and right product page. They were suffering from losing a lot of leads and people being confused what works best for them.
We developed the AI.Energy platform to help mining and oil gas companies automate document compliance work that cost them over 2 million dollars a project with AI technology. We created a platform to ingest over 7000+ documents and process it to give quick answers, find out in compliances and scoring tender bids. We are deeply integrated with the clients document management system. We mapped all the workflow, the way engineers think and reporting they use on day to day business.
Cynario is an AI chatbot designed to empower non-financial users by providing access to the latest information and insights from leading financial giants in the Australian market. The platform enables users to make informed decisions through interactive queries and data analysis. With the flexibility to add custom lenders, Cynario allows users to tailor their experience and access complex financial data with ease. The chatbot serves as a bridge between users and critical financial information, simplifying the decision-making process.
We created an AI-based Learning Management System (LMS) for Study Borg, designed to transform the educational experience. The platform offers a streamlined interface for students to register, subscribe, and access a variety of learning tools and features. Its AI-driven personalization enhances content delivery, adapting to students’ needs and promoting a more effective and engaging learning process. This solution optimizes student outcomes and enables seamless navigation through comprehensive educational resources.
Bachelor of Applied Science (BASc) in
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