My name is Vedant Jain I was born in Pune, India. Over the years, I have evolved as a versatile and fun loving person with a growing realization that computers, technology and music take the highest priority in my subjects of keen interest. I pursue topics related to new advancements and technological developments with ardent zeal. After getting my Highschool diploma I decided to move to Canada to get an undergraduate degree.
I'm currently pursuing a BSc in Computer Science at Simon Fraser University. Over time, I've developed a profound interest in Artificial Intelligence. I'm passionate about the potential of AI and machine learning to transform the world and simplify human life. I've engaged in numerous projects involving neural networks, honing my skills in this exciting field. My dream is to leverage my AI expertise to innovate and transform the music industry.
🎯 Worked within a team of five to engineer a sophisticated U-NET convolutional neural network with
28 layers, focusing on detecting and analyzing brain tumors in MRI images.
🎯 My contributions were critical in ensuring comprehensive training and validation of the model for
enhanced accuracy and reliability.
🎯 Played a key role in the team that accomplished an exceptional accuracy rate of 99.48%, with a
1.64% loss and a 59.87% dice loss.
🎯 Enhanced a pre-trained Wav2Vec2 model for speech-to-text (STT) applications by fine-tuning it on
the LJ Speech dataset, which features a single speaker. The project aimed
to advance automatic speech recognition (ASR) technology.
🎯 Implemented convolutional neural networks (CNN) for high-level feature extraction,
coupled with transformers for language modeling.
🎯 Achieved a word error rate (WER) of 28%, indicating a significant enhancement in model
accuracy. Successfully deployed the fine-tuned model for live transcription services,
where it demonstrated exceptional performance and reliability.
🎯 Developed and trained a Convolutional Neural Network (CNN) to perform Optical Character
Recognition.
🎯 Wrote the neural network in python and trained it on the classic MNIST dataset.
🎯 As a result, achieved 89% accuracy.
🎯 I led the development of an advanced image classification system using deep convolutional neural
networks.
🎯 We enhanced the model performance by expanding and deepening the network
architecture, enabling more intricate feature extraction from the Caltech-UCSD Birds dataset.
🎯 We achieved are markable improvement in classification accuracy, with the model attaining an
impressive accuracy rate of approximately 62%
🎯 Developed a comprehensive bank management system using SQL, demonstrating expertise in database
design and management.
🎯 Implemented SQL queries for data manipulation, enhancing operational efficiency and data accuracy
by establishing a centralized platform for customer and transaction management.
🎯 The bank management system successfully provided a centralized platform for managing
customer accounts and transactions, improving operational efficiency and accuracy.
🎯 Conceptualized, designed, and deployed a dynamic website for an Event Management
company, showcasing expertise in web development.
🎯 Leveraged HTML, Sass, and JavaScript to craft an engaging and user-friendly Graphical
User Interface (GUI).
🎯 Enabled the client to reach a broader audience through online advertising, leading to
increased visibility and business growth.