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Founder & CEO, LUMIV || Open Thoughts
Aspiring to make a mark at the cossroads of Cybersequrity, Artificial Intelligence, Machine learning, and Blockchain. I wear multiple hats, each reflecting my deep passion for technology and my commitment to it’s ethical and practical appplication. Currently, I’m on an exhilarating academic journey, dedicating my time and effort to the realms of Artificial Intelligence and Machine Learning. I’m captivated by the limitless possibillities these helds offer and am dedicated to becoming proficlent in hamessing the power or data for Intelegent decision-making.
Brainware University
Bachelor of Technology in Computer Science & Engineering, Artificial Intelligence & Machine Learning
August 1, 2022 – July 1, 2026
Kumarchak J.K. Sikshya Niketan
Higher Secondary, Pure Science - Mathematics,Physics,Chemistry,Biology
January 1, 2020 – January 1, 2022
Kalai Gobardhan High School (H.S)
Secondary
January 1, 2014 – January 1, 2020
Introduction to Ethical Hacking: Beginner’s Guide to Cyber Security
Simplilearn
June 23, 2026 – Present
All India Council for Technical Skill Development (AICTSD)
All India Council For Technical Skill Development (AICTSD)
June 23, 2026 – Present
3rd International Conference on Current Research in Engineering and Technology ICCRET-2023
Brainware University
June 23, 2026 – Present
Internal Hackathon ( SIH 2023 )
Brainware University
June 23, 2026 – Present
Become a Deep Learning Engineer : Introduction to PyTorch
Simplilearn
June 23, 2026 – Present
Ethicel Hacking : Beginner to Advanced
Udemy
June 23, 2026 – Present
Certified Entrepreneurship
Digital India Programme
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's educational background and certifications show an interest in AI/ML and related fields, which aligns with an ML Engineer role. However, the absence of project details or work experience makes it difficult to assess cultural fit comprehensively. The certifications in entrepreneurship and ethical hacking suggest a broad interest, but specific contributions to team-based projects are not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile lacks details on work experience, project contributions, or team interactions.