Work Experience:
American Express India Pvt. Ltd. | Engineer - III | August, 2022 - Present
Research Experiences:
Department of Biomedical Informatics, Emory University, USA
We are working on predicting VTE using clinical notes using Natural Language Processing.
Further, we extend our work predict the time by which a patient would develope VTE.
National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
Collaborated to present some AI solutions for the prediction of Non-small cell lung cancer (NSCLC) using gene expression data, a widespread type of lung cancer found in around 85% of all lung cancers.
Further, we extend our work to present those critical essential factors/genes responsible for this type of cancer.
Internship Experiences:
Applied Scientist - Intern | Amazon Development Centre India | Bangalore, Karnataka, India | Jan '22 to Jun '22
Collaborated on enhancing shopping experience by building a shopping assistant for highend products like Laptops and Smartphones
Applied NLP for Question Generation and Answer Extraction from online articles for shopping assistance to the customers.
Data Science Associate - Intern | ZS Associates Inc. | Bangalore, Karnataka, India | Jan '21 to Jun '21
Collaborated with the Systems Biology team to create an AI-driven Knowledge Graphs to be used for Drug Repurposing
Gained experience with NLP, weak-supervised learning, Deep Learning for relationship prediction between entities
COVID-19 Decision Support System Data Analyst Intern at | Sapio Analytics, India | May 2020 to July 2020
Worked as a python backend and Machine Learning Intern with a team of around 200 other data-scientists across India and the 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
Applied AI into the above problems to combat COVID-19 and helping The Govt. of India to take decisions.
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 that 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 experience with python, along with 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
I worked on the Development of a virtual reality-based fire training simulator and Machine Learning-based path guidance system 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, Virtual Reality Game Development experiences!