Arkaprabha Ray
@arkaprabharay
Computer Science graduate with expertise in machine learning and computer vision.
What I'm looking for
I am a Computer Science graduate with hands-on experience in computer vision and deep learning. I have developed CNN models that achieved over 87% accuracy on real-world image datasets, including both medical and general-purpose tasks. My work includes implementing attention mechanisms for tumor segmentation, showcasing my ability to contribute effectively to complex projects.
Proficient in PyTorch, TensorFlow, and end-to-end ML pipelines, I have a strong foundation in various programming languages and frameworks. My recent internship at IBM SkillsBuild allowed me to develop an NLP-based conversational AI chatbot, which handled over 50 user queries for energy optimization. I am committed to applying AI ethics principles for the responsible deployment of impactful solutions.
Currently, I am actively seeking entry-level roles in Machine Learning, Computer Vision, or Deep Learning, where I can leverage my skills to contribute robust models to production systems. I am eager to collaborate with innovative teams and tackle challenging problems in the field.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
IBM SkillsBuild Summer Internship Program
Jul 2024 - Aug 2024 (1 month)
Developed NLP-based conversational AI chatbot using IBM Watson Assistant for energy optimization, handling over 50 user queries. Applied AI ethics principles for responsible deployment of social impact solutions.
Education
Degrees, certifications, and relevant coursework
Calcutta University
Master of Computer Applications, Computer Applications
Currently pursuing a Master of Computer Applications degree, focusing on advanced topics in computer science and applications. This program builds upon foundational knowledge to develop expertise in various computing domains.
Vivekananda College
Bachelor of Science, Computer Science
Grade: 8.36/10
Completed a Bachelor of Science in Computer Science, gaining a strong foundation in core computer science principles. Achieved a CGPA of 8.36/10, demonstrating academic excellence in the field.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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