Vyomakesh DundigallaVD
Open to opportunities

Vyomakesh Dundigalla

@vyomakeshdundigalla

Aspiring blockchain expert with a strong foundation in AI.

India

What I'm looking for

I seek a role in a dynamic environment that fosters innovation and growth, where I can leverage my skills in blockchain and AI to contribute to impactful projects.

I am a dedicated professional with a Master's degree in Blockchain in Business and Society from Queen Mary University of London. My academic journey has equipped me with a deep understanding of blockchain technology, its implications for governance, and its potential to foster transparency in business practices. I have engaged in extensive research, including a Bitcoin prediction project that honed my skills in machine learning and data science.

My experience includes an internship at Electronics Corporation of India Limited, where I developed a solar tracking system using Arduino, enhancing solar panel efficiency by 15%. I am proficient in programming languages such as Python and C, and I have a solid grasp of deep learning models and architectures. I am passionate about continuous learning and applying my skills to real-world challenges, particularly in the fields of AI and machine learning.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Queen Mary University of London logoQL

Queen Mary University of London

MSc, Blockchain in Business and Society

2022 - 2023

Engaged deeply in subjects such as Quantitative Research Methods, Introduction to Blockchain, and Cryptocurrency Programming. Explored the social justice potential of blockchain, focusing on its impact on democracy, governance, and the digital economy. Conducted comprehensive studies on blockchain innovation, regulation, and its role in fostering transparency and ethical business practices. Applie

KT

Keshav Memorial Institute of Technology

Bachelor's of Technology, Electronics and Communication Engineering

2017 - 2021

Specialized in image processing, developing Convolutional Neural Networks (CNNs) for enhanced biopsy image analysis for detection and classification of cellular abnormalities. Analyzed and presented on the significance of System-on-chip (SOC) architecture in advancing next-generation computing performance. Worked on microprocessors and microcontrollers, including designing Very Large Scale Integra

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