Ajay Kumar Janapareddi

Hello, I'm Ajay Kumar Janapareddi. I am extremely fond of mathematical sciences. My journey into the world of computer science began during my dual degree program at IIT Madras from 2015 to 2020, where I delved deep into the intricacies of the domain. It was the PASREG'17 Conference in Tokyo that first introduced me to an array of computer science and vision projects. The two-week immersive experience illuminated the importance of diverse thinking and global perspectives, fueling my interest in computer vision.

Post the conference, I had the privilege to intern at KLA Tencor, a frontrunner in process control. Here, I applied optimization techniques, image processing, and automated algorithms to determine the nature and presence of defects in semiconductor images. The experience of intertwining creativity with logic drove me to explore deep learning further.

Under Dr. Krishnan Balasubramanian's guidance at IIT Madras, I embarked on a mission to detect crack propagation in weld inspection using deep learning. The project involved reconstructing images using Matlab by post-processing numerous elementary A-scans garnered through the Phased Array Ultrasonic Testing methodology. I then implemented deep neural networks on the curated image dataset to classify defects in weldments. This endeavor offered me a holistic grasp of AI methodologies in image reconstruction.

Following academia, I transitioned into the corporate world with a two-year stint as a Quantitative Researcher at JPMorgan Chase. Here, I honed my skills by working with wholesale credit financial data and formulating statistical and time series models.

Currently, I'm at Arizona State University, continuing my academic quest. Under the mentorship of Dr. Christy Kelley from the Complex Adaptive Systems Initiative, Institute of Future Health at ASU, I'm focusing on an intriguing project: "Automated Movement Scoring System Using Deep Learning for Dyskinesia Induced Rats." The task involves automating the scoring of rat movements with video data from labs. This exciting project holds promise, and I'm looking to expand on it for my Master's thesis.

With a blend of academic prowess and industry experience, I am eager to collaborate and explore state-of-the-art research methodologies, always striving for innovation at the confluence of technology and real-world challenges.