I am a consistent, hard working, highly motivated person. My aim is to bring my knowledge into the practical, to utilize my potential in designing new software and technology with latest requirement and advancements in the field of technology, thereby adding up to the reputation of the organization. Also if I have any innovative ideas regarding my job, I will share those with others. This perspective will help me to achieve the appreciation and recognition in the company.
* Speech-to-text model for claims transcriptions (Deep Speech)* Developed text pre-processing pipeline for patient appointment documents* Existing applications deployment on Cloud using Docker containers* Skilled in SQL queries to retrieve meaningful data from database in optimized way* Working experience with different python libraries e.g. Numpy, Pandas, matplotlib,etc* Experience on Django and Flask Web API frameworks for development of different applications
Worked on machine learning research manuscripts and AI related articles
As a researcher I worked on deep convolution neural networks and purposed the novel classification methods for MNIST, FASHION MNIST, CIFAR-10 and CIFAR-100 datasets for Cloud/Edge Computing Environment. This was done by taking the DCT of images and utlizing the most important DCT coefficients present in any grey scale or RGB image. A research paper is also under review on this topic as successful experimental results have been achieved.
Based on my excellent performance, I got two fast track promotions within a year; as Network Support Engineer in November 2018 and as Operations Engineer in August 2019.