Teaching Assistant at Stevens Institute of Technology Jan'22-Present
Design and grade students’ assignments, projects and lead office hours to answer students’ questions for graduate level Python courses in Engineering
Prashant Jadiya here. I was unknown to a term of Artificial Intelligence and Machine Learning about four years ago. In middle of my engineering, I started to dive in Machine Learning with Stanford University's course and practised it in my internship as Machine Learning Engineer at LeeadingIndia.ai. And now I'm in USA pursuing MS in Applied AI.
Addicted to explore AI architectures and its techniques for automating tasks that are being done manually in present.
Instead of running script in Jupyter environment, I prefer to deploy model in Web-app using Flask or Django.
With adaptibility and flexibility of python execution environment, achievement of goals made easy.
My academics are not only for being topper of the class, I chose science stream to know reasons behind facts. That's why I am not only focused for academic curriculum, I had sharpened my skills such are mentioned below.
Currently pursuing MS in Applied AI at Stevens Institute of Technology, NJ, USA with CGPA of 3.92. Expecting degree to be completed in December 2022.
Bachelor of Engineering in Information Technology with 8.89 CGPA in Marwadi Education Foundation's Group of Institutions affiliated with Gujarat Technological University.
Opted for Science stream after 10th Grade with aggregate of 73% in K.G Dholakiya School (Rajkot) under board of GSHEB.
Design and grade students’ assignments, projects and lead office hours to answer students’ questions for graduate level Python courses in Engineering
This internship proved to be turning point of my life. It benefited me tremendously in terms of skills such as Team playing, Leadership and specific skills related to AI. Conducted research in deep learning algorithms such as V-Net, U-Net and leveraged them on Kidney Tumor Segmentation project of KiTS’19 to achieve 78% accuracy with 300GB data and Published findings in Computers in Biology and Medicine.
In a wake of global pandemic of coronavirus, I approached this lockdown in very productive way including pursuing my passion as being ML engineer remotely doing projects. I worked on project based on IBM watson to create realtime news search app using Discovery service and Node Red to deploy it on Node and integrated with Slack. Got so much of insights of real-time processing of Node RED and IBM watson.
LinkedIn: Click here (For latest activities)
Read my blogs: Click here
Github: Click here
Email: jadiyap@ymail.com
Skype: live:jadiyap
WhatsApp: +91 94092 58578
Last Updated on March, 2022