paragus gaming
@paragusgaming
Aspiring AI engineer with expertise in machine learning and data analysis.
What I'm looking for
I am an aspiring AI engineer currently pursuing a Bachelor of Science in Artificial Intelligence at Dawood University of Engineering and Technology. With a GPA of 3.59/4, I have developed a strong foundation in machine learning, data analysis, and computer vision. My passion for technology drives me to create innovative solutions that address real-world challenges.
During my internship at Resolve, I developed a legal document querying system using advanced retrieval strategies, showcasing my ability to apply theoretical knowledge to practical applications. At Arcana Info Pvt Ltd, I created a predictive machine learning model for chronic kidney disease detection, demonstrating my skills in data science and health analytics. I have also worked on various projects, including an AI-powered research assistant and a full-stack computer vision application, which further honed my technical abilities and problem-solving skills.
Experience
Work history, roles, and key accomplishments
AI Intern
Arcana Info Pvt Ltd
Aug 2024 - Present (1 year)
Developed a predictive machine learning model for chronic kidney disease detection using IBM watsonx.ai, implementing data science techniques to forecast patient health risks. Created a comprehensive business intelligence dashboard with IBM Cognos Analytics to visualize key health metrics.
Education
Degrees, certifications, and relevant coursework
Dawood University of Engineering and Technology
Bachelor of Science, Artificial Intelligence
2022 - 2026
Grade: 3.59/4
Activities and societies: Microsoft Learn Student Ambassador, Co-Founded DevBiradri Community, Technical Lead @ IEEE Computer Society
Pursued a Bachelor of Science in Artificial Intelligence, gaining proficiency in programming languages such as C, Python, and R, alongside core concepts in Object-Oriented Programming, Data Structures and Algorithms, and Assembly Language. Specialized in AI, SQL, and various machine learning techniques.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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