About me!
माझ्याबद्दल!
मेरे बारे में!
私について
Über mich
关于我
I am an energetic, highly motivated and a hard-working student. I am highly interested in technologies such as Machine Learning and Deep Learning, web development and deployment. I am passionate to transform any newly learnt skills / technologies into real-time prototypes.Having studied basic courses like Signals & Systems, Digital Signal Processing, Digital Image Processing as an undergrad, laid the groundwork for advanced fields of Computer Science such as Natural Language Processing(NLP), Computer Vision(CV), Speech Processing, etc. These fields have piqued my interest since then, especially Computer Vision.When I am not engrossed in coding or hardware challenges, I play video-games such as CS:GO and outdoor games like football and cricket, also I enjoy playing Tabla with some Indian Classical Music.
Led the communications team for Robocon 2018. The team's focus was on establishing wireless communication instead of conventional wired controls. The modern hardware such as nRF24L01+, ESP8266, etc was thoroughly researched.
Robocon is a part of technical activities in VIIT, Pune. Being a part of such team improved a lot of technical, leadership and management skills.
Played Tabla at the musical team for Firodiya karandak 2016. Firodiya karandak is a intercollegiate variety show, where teams from different colleges with different themed dramas compete for the trophy. The team's name is AAVISHKAR, meaning invention.
AAVISHKAR is the cultural commune of VIIT, Pune. Here people from interests in art, literature, dance, music come together and work hard for the intercollegiate drama competitions.
A hands-on course provided by Nvidia's Deep Learning Institute, introducing concepts like
Models,
Hyperparameters, Epochs, Loss, etc. Using the DIGITS platform and a GPU instance, the
training and testing took less than a hour for a pre-trained network like AlexNet for < 30
epochs.
Course Id - DLI C-FX-01
View Certificate
Completed various quests(A series of hands-on labs) like Intermediate ML: TensorFlow on GCP,
BigQuery for Machine Learning, Intro to ML: Language Processing, etc. These labs are
hands-on
labs with actual services like AutoML, Dialogflow, Stackdriver, etc and resources like GPUs,
VMs
being actually deployed for you.
Different awards won at intercollegiate level technical fests.
