SSSailesh Shiwakoti
@saileshshiwakoti1
Computer Engineer and AI enthusiast specializing in Machine Learning.
South KoreaWhat I'm looking for
I am a Computer Engineer and AI enthusiast with a strong expertise in Machine Learning, Computer Vision, and Generative AI. My journey in the tech world has been marked by a commitment to research and development across multiple AI domains, particularly in pattern generation and time series forecasting. I am passionate about solving real-world problems with deep tech and delivering scalable software solutions.
Currently, I work as an ML & AI Engineer at NSDevil in South Korea, where I spearhead R&D in Computer Vision and Generative AI for commercial applications. I have successfully developed GAN-based systems for pattern generation, achieving industry-level authenticity, and deployed optimized deep learning models in production through cross-functional collaboration. My technical skills include backend development using Django Rest Framework and Node.js, along with a robust understanding of various AI/ML tools.
Experience
Work history, roles, and key accomplishments
ML & AI Engineer
NSDevil
Jan 2023 - Present (2 years 6 months)
Spearheaded R&D in Computer Vision and Generative AI for commercial applications. Developed GAN-based systems for pattern generation, achieving industry-level authenticity and deployed optimized deep learning models in production with cross-functional collaboration.
Media & PR Manager
LOCUS
Jan 2020 - Present (5 years 6 months)
Coordinated events with over 1,000 participants, including hackathons, workshops, and fellowships. Led national school outreach impacting more than 20 schools, boosting event participation by 40% and social media reach by 65%.
Education
Degrees, certifications, and relevant coursework
Pulchowk Campus, Institute of Engineering
Bachelor of Engineering, Computer Engineering
Grade: Distinction (82%)
Graduated with Distinction (82%) in Computer Engineering. Focused on core computer science principles and advanced topics in AI and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
South KoreaAuthorized to work in
Job categories
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