Raj Derasari

Profile:

• Masters Degree: M.Sc in Computer Science and Engineering, Eindhoven University of Technology (2019-2021).
• Undergraduate: B.Tech, Information and Communication Technology,SEAS, Ahmedabad University (2014-2018) .
• Areas of Interest: Software Development, Data Science, DevOps
• Experience: 1 year internship, and 3 months technical content writing
• Looking for internships in Europe, preferably The Netherlands, during June-August 2020
• Skills: Python, C Programming, Linux Shell, OOP with C++ and Java, Matlab/GNU Octave, Java, R Studio
• Hobbies: Good at gaming (CS 1.6 and CS:GO player since 2010), Biking in nature, Musical instruments, Fitness, and Audio-track mixing

Growing up around computers has led to me spending the majority of my life in front of computers (no regrets!), I wrote my first C program when I was 13, and I developed interest in Information Technology and Computer Science. In 2014, I secured admission into the Bachelor of Technology program at the School of Engineering and Applied Science (SEAS, formerly 'Institute of Engineering and Technology'), Ahmedabad University. The robust project-based curriculum enabled my capabilities of teamwork, leadership and time management, along with the development of my technical skill-set.

In Semester 7 of my undergraduate, I started my B.Tech project/internship at Hirevalley Inc in a team of 4 (termed "MARS" from our initials). I developed a passion for Python and Linux Shell, working on Machine Learning (Generative Adversarial Networks for correlated data generation) and learning DevOps methodologies. This one-year internship was an extension to the platform for Human Capital Management (HCM) by our seniors. The platform in context is a microservice-based scalable architecture, and provides a benchmarking score for evaluation and comparison of candidate/job profiles. We developed algorithms and scoring techniques for candidate-to-job, candidate-to-candidate, job-to-candidate, and job-to-job comparison requirements. We authored a research article on this paper which was accepted in the IEEE International Systems Conference in 2019.
We also began an endeavor to generate appropriate resume data, for testing the system. Our research in correlated data generation started with a goal to generate resume descriptions that would contain correlated skills and thus, interdependent sentences. We document our endeavors in Natural Language Generation over here, also developing a novel technique GrammarGAN for generating sentences with the Part-Of-Speech tag (POS tag) and seed word as inputs. Our research in correlated data generation for skill recommendation was accepted as a research paper in the 2nd workshop for Data Science for Human Capital Management in 2018.

I have also used C/C++ in various academic projects (Operating Systems, Embedded Systems, Computer Networks, etc.), and for competitive programming in 2017. Since then, however, I instead worked on projects such as Ubuntu Configuration Scripts for Default/LiveCD and Easy GRUB Installation Script. (I worked with dual-booting systems countless times, so I often found myself repeating the GRUB Reinstall, motivating me to create this script.) I learned web-scraping with BeautifulSoup and wrote a Downloader Script for some supported software.