Vyomakesh Dundigalla
@vyomakeshdundigalla
Aspiring blockchain expert with a strong foundation in AI.
What I'm looking for
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
Embedded Systems Intern
Electronics Corporation of India Limited
May 2019 - Jul 2019 (2 months)
Developed a solar tracking system using Arduino, enhancing solar panel efficiency by 15%. Gained hands-on experience in embedded systems design, microcontroller programming, and hardware/software integration.
Education
Degrees, certifications, and relevant coursework
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
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
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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