Summer Research Engineer at mbd.xyz | Seeking New Grad Machine Learning Engineer, Data Scientist or Software Engineer ro

Hrishikesh Kamath  • Peerlist

Worked with a team of three to developed an Android Application to get the diagnosis and log events of a PLC (L-45). Used Bosch MLPI Library to interface the app with a PLC and SQLite database to store data relating to users with a possible extension of prior log information. 

Android Application for PLC Diagnosis 

GreyNSights is a Framework for Privacy-Preserving Data Analysis. Currently with support only for Pandas. The framework allows analysts to remotely query a dataset such that the dataset remains at source and private to data analyst. The query results returned are differentially private. The framework offers flexibility to the analyst by ensuring that they can use the same pandas syntax for analyzing and transforming datasets, but cannot view the individual rows. GreyNSights also offers flexibility to query several parties together and get aggregate statistics without revealing individual counts of parties.

GreyNSights 

Other Projects 

Used Pytorch, OpenCV and Pillow in Python 
Trained a character agnostic text detector on Chars74K dataset along with images consisting of indoor/outdoor scenes without text. The character agnostic model is an Alexnet network pre-trained on Imagenet. 

Reduced time to label a single image by 34% by training a smaller network using Knowledge Distillation, making the model capable of labelling thousands of images in a few hours. Also explored and analyzed other methods for Neural Network compression. 

Used the distilled network and sliding windows to annotate images in UCSD SVT and NEOCR dataset to derive bounding boxes 
Trained a street text localisation and detection Fully Convolutional Network(FCN) on the weakly supervised labelled dataset. 