Work Experience:
Machine Learning and Software Development Engineer at Parjanya Creative Solutions | Bangalore, Karnataka, India | 20-September, 2020 to 22 November, 2020
Working there on building a machine learning based rowing app to calculate the number of strokes during a workout.
We will be publishing our app as an update for the apple watch.
COVID-19 Decision Support System Data Anakyst Intern at | Sapio Analytics, India | May, 2020 to July 2020
I am working as a python backend and Machine Learning Intern with a team of around 200 other data-scientists across India and UK being mentored by Noble Laureates like Dr. Michael Levitt and Colonel H R Naidu Gade to obtain the following outputs:
Prediction of spread
Resource optimization of essential services
Predicting the impact on the economy
Predicting the social impact of the outbreak
Planning structured withdrawal of lockdown
Preparation of algorithm for alternative testing methodology
We have been applying AI into the above problems to combat with COVID-19 and helping The Govt. of India to take decisions.
National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
We have been collaborating with an objective to present some AI solutions for the prediction of Non-small cell lung cancer (NSCLC) using gene expression data which is a very common type of lung cancer, found in around 85% of all lung cancers.
Further we extend our work to present those key important factors/genes which are mainly responsible for this type of cancer.
I have gained expirience in Genomics, and application of AI in genomics, the learning is still going on!
Note: The data-set is highly confidential, but I would be more than happy to discuss more on the methodologies used, please contact me on: saransh.official.iitkgp@gmail.com for any discussion or suggestion.
Swaayatt Robots (स्वायत्त रोबोट्स), India | April, 2020 to June 2020
Deep Learning & Computer vision summer Intern working under Mr. Sanjiv Sharma, CEO, Swaayatt Robots.
Worked with large data-sets of images to build a pipeline which can automate the points tracking, segments the road to extract path
Programmed SuperPoint algorithm, a deep learning approach to extract features of an image for Point tracking & Visual Odometry.
Trained & tested the Linear Style Transfer algorithm using tensorflow and deep learning to change the semantics of the road and convert day to night, night to day etc. in images.
Incorporated Visual Odometry, Point tracking and style transfer into a single pipeline to directly deploy on the system.
I have gained a lot of programming expirience with python, along with a depth knowledge of Computer-Vision and Deep Learning.
Safety Analytics & Virtual Reality, Industrial & Systems Engineering, IIT Kharagpur, India
Undergraduate Research Assistant worked under Prof. J. Maiti
Worked on the Development of a virtual reality based fire training simulator and Machine Learning based path guidance system
with an objective to build a virtual environment to train people for safe evacuation from a hospital building in case of fire.
Created virtual environment of a building in Unity3D, tested in oculus-rift to collect data from human behavior in case of fire.
Programmed the oculus rift player along with the AI-Bots which will follow the player during the time of fire exit using C#.
I have gained a lot of programming, designing expirience along with a unique expirience of Virtual Reality and Game Development!