Full-Stack Developer
CurrentLeveraging the power of Artificial Intelligence in Human Resources
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Dan Krecoum is listed as AI/ML Engineer | Full-Stack Developer | MSc. Computer science - AI at Airudi, a with 15 employees, based in Montreal, Quebec, Canada. AeroLeads shows a matched LinkedIn profile for Dan Krecoum.
Dan Krecoum previously worked as Full-stack Developer at Airudi and Full stack Developer at Independant Freelancer. Dan Krecoum holds Master Of Science, Artificial Intelligence, 3.4/4.33 from Université Laval.
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Passionate software developer with a master's degree in computer science - AI from Université Laval. Experienced in web application design and innovative AI solutions, I seek to apply programming best practices to ambitious projects, whether in AI, web development or computer science in general, with rigor and innovation. My expertise in AI and my commitment to innovation enable me to contribute effectively to the development of advanced solutions.Don't hesitate to contact me to discuss potential collaborations and see how we can innovate together!
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Montreal, Quebec, Canada
Leveraging the power of Artificial Intelligence in Human Resources
Canada
As a Freelance Fullstack Developer, I have successfully collaborated with small businesses, entrepreneurs, and startups to bring their digital projects to life. I specialize in both front-end and back-end development, providing comprehensive solutions that cover the entire development lifecycle. My work includes:Custom Web Application Development: Designed and developed custom web applications using modern technologies such as React, Node.js, and Django to meet unique business needs.API Integration: Implemented and integrated APIs to enhance functionality and improve user experiences for various platforms.Responsive Design: Ensured that all web applications are responsive and optimized for various devices, enhancing accessibility and user engagement.Database Management: Managed and optimized databases using SQL and NoSQL technologies to ensure data integrity and performance.Client Collaboration: Worked closely with clients to understand their requirements, provide technical guidance, and deliver solutions that align with their business goals.Maintenance and Support: Provided ongoing maintenance and support for developed applications, ensuring long-term reliability and performance.
Montréal, Québec, Canada
• Developed a proof-of-concept to assist radiologists in analyzing XRAY images, achieving metrics results above 95%, by implementing classification, localization and semantic segmentation models using PyTorch, U-Net, and SAM from Meta AI, deployed on the Microsoft Azure cloud platform. • Improved model performance and scalability, reducing processing time, by pre-processing data, implementing an out-of-distribution image detection pipeline, and leveraging Azure services for distributed computing and storage.• Improved model development and monitoring by applying MLOps practices, using tools such as Weights and Biases for experiment monitoring and model management.
Québec, Canada
• Develop interactive web interfaces (client-side) for digital health research projects, in a Scrum framework and in collaboration with UI/UX designers• Perform interface tests (interoperability between browsers, responsive interfaces)• Perform user tests• Technologies: NodeJs, ExpressJS, VueJs, MongoDB, HTML, CSS, Javascript
Québec, Canada
Teaching assistant for the "GLO-2000 Réseaux pour ingénieurs" course
Québec, Canada
• Develop interactive web interfaces (client-side) for digital health research projects, in a Scrum framework and in collaboration with UI/UX designers• Perform interface tests (interoperability between browsers, responsive interfaces)• Perform user tests• Technologies: NodeJs, ExpressJS, VueJs, MongoDB, HTML, CSS, Javascript
Québec, Canada
• Development of innovative software solutions in a startup environment, applying the agile methodology (Scrum).• Design and implementation of the backend with a CMS without interface (headless) and integration of services, including Zoho Books.• Data flow management and processing with MongoDB and containerized environment deployment via Docker and Google Cloud Platform to ensure interoperability, scalability and efficiency.• Technologies: NodeJs, React, Angular, MongoDB, Docker, Google Cloud Platform
Québec, Canada
Other employees you can reach at airudi.com. View company contacts for 15 employees →
Rahat Shawon
Colleague at AirudiOttawa, Ontario, Canada
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Keba Mbaye Diedhiou
Colleague at AirudiSenegal
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Alexandrine Coursol
Colleague at AirudiMontreal, Quebec, Canada
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Jonathan Deguire, Crha
Colleague at AirudiGreater Montreal Metropolitan Area, Canada
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Amir Barzegar
Colleague at AirudiToronto, Ontario, Canada
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Jean-François Connolly, Ph.D.
Colleague at AirudiMontreal, Quebec, Canada
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Chantal Fortin
Colleague at AirudiGreater Montreal Metropolitan Area, Canada
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Alassane Latyr Sarr
Colleague at AirudiDakar Region, Senegal
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Amélie Savard
Colleague at AirudiQuébec, Quebec, Canada
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Manon Paquette
Colleague at AirudiHanmer, Ontario, Canada
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Master of science in Artificial Intelligence
Activities and Societies: Member of the IT Competitions and Training Club (CFIUL) Member of the game development clubGraduated in computer.
Activities and Societies: XLAB Computer science club member Basketball team playerStudies in computer network and telecommunications systems
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Dan Krecoum works for Airudi.
Dan Krecoum is listed as AI/ML Engineer | Full-Stack Developer | MSc. Computer science - AI at Airudi.
Dan Krecoum is based in Montreal, Quebec, Canada while working with Airudi.
Dan Krecoum has worked for Airudi, Independant Freelancer, Ciusss Du Centre-Sud-De-L'Île-De-Montréal, Laval University, and Vitam - Centre De Recherche En Santé Durable.
Dan Krecoum's colleagues at Airudi include Rahat Shawon, Keba Mbaye Diedhiou, Alexandrine Coursol, Jonathan Deguire, Crha, and Amir Barzegar.
You can use AeroLeads to view verified contact signals for Dan Krecoum at Airudi, including work email, phone, and LinkedIn data when available.
Dan Krecoum holds Master Of Science, Artificial Intelligence, 3.4/4.33 from Université Laval.
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