Girban Adhikari
@girbanadhikari
Aspiring AI engineer with a strong foundation in machine learning.
What I'm looking for
I am a dedicated and passionate AI engineer currently pursuing a B.E. in Computer Engineering at Tribhuvan University, set to graduate in April 2025. My journey in technology has been marked by a strong foundation in machine learning and deep learning, which I developed during my time as an AI Fellow at Fusemachines. Here, I explored advanced topics such as natural language processing, image processing, and MLOps, earning a Microdegree in Artificial Intelligence.
In addition to my academic pursuits, I have engaged in various projects that showcase my technical skills and creativity. One of my notable projects is 'Ghadi,' a 3D watch visualizer app developed using Unity and Vuforia, which allows users to customize and visualize 3D watch models in augmented reality. My work has been recognized by faculty members, and I have also contributed to research on synthetic data generation for electronic health records, which was published at the 16th IOE Graduate Conference.
Experience
Work history, roles, and key accomplishments
AI Fellow
Fusemachines
Apr 2024 - Sep 2024 (5 months)
Gained a strong foundation in machine learning and deep learning concepts, starting from the basics. Explored advanced topics such as natural language processing (NLP), image processing, and MLOps.
Organizer
Vertex Hacks, Chapter Alpha
Jan 2023 - Jan 2023 (0 months)
Involved in the organization and facilitation of events and a hackathon. The event was sponsored by Foodmandu and NATHM.
Education
Degrees, certifications, and relevant coursework
Tribhuvan University IOE Thapathali Campus
Bachelor of Engineering, Computer Engineering
Activities and societies: Awarded Batch Topper (84 percentile) in Year II and Class Topper (85 percentile) in Semester I, demonstrating academic excellence.
Pursuing a Bachelor of Engineering in Computer Engineering with an expected graduation in April 2025. Relevant coursework included Theory of Computation, Data Mining, Microprocessors, and Embedded Systems, providing a strong foundation in core computer science principles.
Tech stack
Software and tools used professionally
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