I am a Software Development Professional, with strong academic background and keen interest in research. I have industrial experience in application development, DevOps processes, agile development. My research interests include Machine Learning, Natural Language Processing and Storage Security.
I am currently working as an Analyst in the Technology division of Deutsche Bank since July 2018. I graduated in May 2018 with a Bachelor of Technology (B.Tech.) in Information Technology from College of Engineering Pune. I was awarded Gold Medal for graduating as the department topper with a CGPA of 9.44/10. I worked as research assistant intern in Nanyang Technological University Singapore during the summer of 2017.
You can visit my LinkedIn profile, GitHub profile and Google Scholar profile to check my work. Feel free to reach out to me at yogirajkulkarni4@gmail.com.
July 2018 - Present
Working in Market Finance department of the Technology division. Worked on automating release flow by developing Python scripts and integrating them with Jenkins; developed applications in Java Spring Boot & Angular; Worked on automating Kubernetes deployments on OpenShift
May 2017 - July 2017
Worked on the project of Adapting Dynamic Provable Data Possession Technique for efficient RAID Monitoring. Worked in the Parallel and Distributed Systems Lab (PDSL) of School of Computer Science and Engineering (SCSE)
December 2016 - January 2017
Developed dynamic and responsive website for the air purifier start-up in HTML5, Bootstrap, JavaScript & PHP
July 2014 - May 2018
Cumulative GPA - 9.44 / 10
Department Rank - 1 out of 79 (Gold Medalist)
Used Convolutional Neural Network (CNN) classifiers built using Transfer learning to detect motorcyclists not wearing helmet from CCTV video
Technologies used :- Python - OpenCV, Keras with TensoFlow backend
As part of Finance elective, implemented Web service for OME functionalities and exposed REST API for it so that other components can call the service
Technologies used :- Python Flask, MongoDB database, Flask-PyMongo, JSON
Implemented FlexDPDP technique originally proposed for client-server data outsourcing scenario to the scenario of a RAID system in C++
As part of the Information Retrieval course, built Crawler in PHP and search engine for college website using Elasticsearch
Implemented Foreign Exchange Netting System that calculates net amount per currency pair from input trades
Technologies Used :- Java Spring Boot, HTML, Bootstrap, JavaScript, SQL database
IEEE International Conference on Current Trends towards Converging Technologies (ICCTCT) 2018
Keywords :- helmet detection, number plate recognition, computer vision, machine learning, convolutional neural networks, transfer learning
Link to publication - https://ieeexplore.ieee.org/abstract/document/8551001