Hi! I am V. S. Abhinav Rahul Gandrakota, a final year Electronics & Instrumentation undergraduate at BITS Pilani, Hyderabad. I am mainly interested in the field of data science, especially Natural Language Processing and Artificial Intelligence.
Previously, I worked with Dr. Ankur Bhattacharjee on using Deep Learning based algorithms for
development and optimization of an efficient VRFB thermal management system. I am currently working with Dr. Aruna Malapati on getting pre-trained embeddings for code-mixed data.
I got my first opportunity to work in the Deep Learning domain as part of my summer internship at North Eastern Space Application Centre, which involved 3D Semantic Segmentation task performed on satellite generated images. After that, I knew that I wanted to pursue my professional career in this domain.
I’ve worked on many assignments and projects as part of the courses done under the data science minor. Some of them include Sign Language Translation, Audio Based Language Identiifcation and Alzheimer Helper.
I’ve also worked on Robotics projects in the past, first in 10th grade, and then in my first year of college. Although I don’t enjoy the theoretical aspect of electronics, I have always found working with actual hardware a lot of fun. I hope to get the opportunity to incorporate my knowledge of AI/ML along with Robotics in the future.
I have always loved the subject of Mathematics, particularly Probability & Statistics. That was what, despite being an Electronics major, initially pushed me to explore the field of data science.
In my free time, I like to read books, play football and work out. I’ve also recently started learning how to play the guitar. I hope I can learn how to play my favourite songs very soon!
Feel free to contact me if you’d like to know more about my work!
B.E in Electronics & Instrumentation Engineering, 2019-2023
BITS Pilani
Minor in Data Science, 2021-2023
BITS Pilani
Played at U-15 club tournaments
Stories, Novels, Inspirational, and Business related books
Mainly 3x3
Worked on development of DL pipeline for 3D semantic segmentation task performed on drone and satellite generated images. Pipeline was deployed as an API using an Inference server to use this service in an application or web app for visualization of results. The project involved: