Analytical professional with hands-on experience in software design and development. Skilled in managing full life cycle of software development processes, including requirement engineering, design, coding, testing, debugging, and maintenance. Proficient in Applied Algorithms, Artificial Intelligence, Cloud computing, Big Data, Advanced Database Concepts, Applied Distributed Systems, and Machine learning techniques, such as regularization, feature engineering, principal component analysis, and model evaluation.
Dec 2018 - Jul 2020
Developed a service for a Network monitoring solution to automate the consumption of device information XMLs from upstream network inventory component. Worked with the design team to integrate the service with the downstream network monitoring component which ran daily monitoring of the client's network.
Apr 2018 - Oct 2018
Assisted in development of ETA & visibility feature for the digital logistics SaaS product. Worked with process team in designing a process workflow which could be customized for each customer's Last mile delivery requirements.
Jan 2021 - Present
Working as a Research Assistant at the CyberInfrastructure for Network Science Center at Luddy School of Informatics. Enrolled in ML and Big-Data focused courses as part of my curriculum to expand my knowledge in these fields.
July 2013 - June 2017
Completed my bachelors in Electronics and Computer Engineering where I explored various domains in Software Engineering and Electronics Engineering.
Below are some of the projects which I have done for my self-learning as well as part of the research work.
The model identifies the orientation of images in a FlickR image dataset. First, I trained the model using k-nearest neighbors as a baseline, and then using Neural Network.
The objectives of this project are as follows :- 1.To experiment with different classification methods to see which yields the highest accuracy. 2.To determine which features are the most indicative of a good quality wine.
As part of AI coursework at IU, I implemented a solution for an object to navigate a 2-D plane with obstacles and reach it's goal. I used Breadth First Search and Depth First Search to find the optimal route.
The problem was to output a route from a certain 'start city' to 'end city'. This had to be done by optimizing 4 parameters "distance", "time", "segments" and "safe".
This code implements Bayes Net + Viterbi Algorithm to detect Mountain Ridge in images.
IU Luddy School of Informatics, Computing, and Engineering
700 N Woodlawn Ave
Bloomington, IN 47408
aarvind@iu.edu
akshatarv96@gmail.com
Phone: (+1) 812 538 4914
