M S Pawan Ranjith

An aspiring engineer who is keenly inclined towards technology which transforms the planet. My intrested areas are Cloud Computing, Digital Image Processing, ML, Blockchain etc..
My past experience and projects I have done in the mission of exploring the technology are :

Experiences :
I have work experience on diverse technology like Azure Active Directory, Azure Storage Bucket, Aadhar Authentication, and also on image compression. In this project I had challenge of network bandwidth, since it has to be deployed in rural areas in India. I vanquished the challenge by lossless image compression (LZ77-Huffman coding).

I designed an app that allowed the system to authenticate the authorized personal at given location only. This app remove repudiation, proxy-reporting. It uses GPS and FingerPrint to achieve the above.

I worked on project which recognizes multiple faces in a image using classical image processing and achieved a low cost model but with accuracy of 78% .OpenCv tools were used.

I have been part of software team of project where aim is to predict the BG value and insulin dosage using time series analysis.

My Honours :
Smart India Hackathon 2018
Innovation Award in Smart India Hackathon software edition 2018 under department of Statistic and programme Implementation.
Designed an intuitive application for International Comparison Programme that automates the data collectors work.

Itech 2017 Hackathon
Special Jury Winner award for developing in-app comprehensive feedback system.
It uses the FCM ID and machine learning to classify the feedback and analyze the crash report

PaySe Hackathon :
(March 2017)
I was given appreciation of commendable performance in the Hackathon conducted by PaySe (company ,which has implemented Offline payment) to break into their system with the internal uncaught exception in the system itself and flag the user in their database.

I am recently researching on OLAP services and its effect in optimization of databases. This project is making me explore on block-chain and its application on transaction based systems.