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AI/ML Engineer
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2+ years
AI/ML Engineer
Bachelor in Electronics, Communication and Information Engineering, Thapathali Campus
I am Bishwambhar Dahal, an AI/ML Engineer with expertise in deep learning, computer vision, and LLM. I hold a Bachelor's degree in Electronics, Communication, and Information Engineering from IOE, Thapathali Campus. With a strong background in AI research and model development, I specialize in designing intelligent systems that leverage deep learning frameworks and data-driven methodologies to solve complex problems. My work focuses on advancing AI-driven solutions, and I have contributed to multiple research publications exploring innovative AI technologies and their real-world applications.
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Nov 2025 – Present
Dublin, Ireland | (Remote)
Apr 2025 – Nov 2025
Kathmandu, Nepal
Mar 2024 – Sept 2024
Kathmandu, Nepal
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Our paper on Cricket Bowling Action Recognition with Transformer-based Models has been published in Springer's Communications in Computer and Information Science. Special thanks to co-authors Bigyan Subedi, Sirjana Bhatta, Sonish Maharjan, and Sushmita Poudel.
We presented our Cricket Bowling Action Recognition with Transformer-based Models paper at the 5th International Conference on Image Processing and Vision Engineering in Lisbon.
Our Cricket Bowling Action Recognition with Transformer-based Models paper has been accepted at the 5th International Conference on Image Processing and Vision Engineering in Lisbon.
Our paper on Advancements and Applications of Generative AI in Healthcare has been published in the European Journal of Theoretical and Applied Sciences. Special thanks to co-authors Sandeep Chataut, Sirjana Bhatta, Grishma Ojha, Bigyan Subedi, and Bijay Bastakoti.
I have completed my Bachelor's Degree in Electronics, Communication and Information Engineering from Institute of Engineering (IOE), Thapathali Campus, Tribhuvan University, Nepal.
Our final year project MediVQA: Medical Visual Question Answering using VisualBERT was selected as One of the Best Final Year Projects by the Department Project Committee. Special thanks to project partners Apsara Shrestha, Sirjana Bhatta, and Sujana Acharya, and supervisor Er. Saroj Shakya.
We successfully defended our final year project MediVQA: Medical Visual Question Answering using VisualBERT. Special thanks to project partners Apsara Shrestha, Sirjana Bhatta, and Sujana Acharya, and supervisor Er. Saroj Shakya.
We successfully defended our minor project Smart Bill Master with Sales Analyzer. Special thanks to project partners Apsara Shrestha, Sirjana Bhatta, and Sujana Acharya, and supervisor Er. Praches Acharya.
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