Ongoing:- Leading a team of machine learning engineers and computer vision engineers.- working on core algorithms to make machine see.- working on to identify non linear localised structures to linearize with constant entrophy.Contributed:- Created Variational Autoencoder for the pixel level latent space representation for image featurization.- Worked on Texture based analysis for micro-scopic images.- Made a cutting edge OCR- Auto data annotations tool for… Show more Ongoing:- Leading a team of machine learning engineers and computer vision engineers.- working on core algorithms to make machine see.- working on to identify non linear localised structures to linearize with constant entrophy.Contributed:- Created Variational Autoencoder for the pixel level latent space representation for image featurization.- Worked on Texture based analysis for micro-scopic images.- Made a cutting edge OCR- Auto data annotations tool for modelling- Worked on creating anomaly detection and root cause analysis pipeline- Custom object detectors with auto data annotations Show less

At SmartViz, we focused on delivering industry oriented optimal solutions to manufacturing plants, automobiles industries and various other stakeholders on the secondary sector over the globe.

- Build the complete media server at AWS for vedio Conference. Implemented and configured the video conference from open-source plateform. Created local APIs and helped company to attain self hosted video conference server.- Created the algorithm to substitute the background of conference participants in real time using U-Net convolution nueral net.- Worked and created model for the classification of thyroid to assist medical practitioners.- Build the core algorithm to… Show more - Build the complete media server at AWS for vedio Conference. Implemented and configured the video conference from open-source plateform. Created local APIs and helped company to attain self hosted video conference server.- Created the algorithm to substitute the background of conference participants in real time using U-Net convolution nueral net.- Worked and created model for the classification of thyroid to assist medical practitioners.- Build the core algorithm to extract he text from documents and images to assist automated extraction of text from critical documents. Show less

- Helped developing models for e-commerce recommendation systems- Worked on data scrapping from websites- Helped reducing the training time of tree by using inference net.- Helped building LMS plateform and auto promotion bots- Automated the social media handles for EigenAi

Provide consultation and training on ML