Hey, I'm Ayush Ranjan, originally from Madhubani, Bihar, India, a town renowned for its exquisite paintings. I've always been drawn to the world of IT products and services, viewing them as the digital monuments of our age. Much like civil engineers build physical bridges, I aspire to contribute to building the digital bridges that connect our modern world.
I completed my B.Tech. in Information Technology from Manipal University Jaipur. My interest in computer science blossomed as I delved into understanding the intricacies of the Internet. My journey in tech began with creating web and mobile applications.
During my undergraduate years, I became deeply engrossed in Deep Learning. My B.Tech. Project involved using Convolutional Neural Networks (CNN) for sentiment analysis of text, inspired by a paper on Sentiment Analysis using CNN. This experience reinforced my belief that learning algorithms from data is a potent approach to problem-solving.
My focus then shifted towards the software industry and development. I honed my skills during an internship at Capgemini, where I served as a Senior Analyst Intern and Java Full Stack Developer. There, I had the opportunity to lead a team of 6 interns in developing a Medical Portal using Spring Boot for the backend and React for the frontend. I seamlessly integrated the frontend and backend via Axios, enhancing user experience and data security.
Afterward, I received a full-time offer as a Senior Analyst at Capgemini in Mumbai. In this role, I worked on the Mercedes-Benz project XDIS (Cross-platform Data Information System), a crucial tool for vehicle diagnostics and automatic driving scenarios. Leveraging my Java expertise, I enhanced software features, optimized various tools/modules, and introduced innovative ideas recognized within the Mercedes-Benz ecosystem. I proudly achieved 3rd place among 60 competing groups at Innocircle 2022, Mercedes' Internal Innovation forum, showcasing my commitment to innovation.
Subsequently, I was promoted to Associate Consultant in my job. After more than two years of working experience, I decided to pursue specialized knowledge by enrolling in a Master's in Computer Science program at the University of California, Santa Cruz. My journey in the world of technology continues, driven by a passion for innovation and a commitment to contributing to the digital realm.
At UCSC, I dedicated myself to the Applied Machine Learning: Deep Learning course, where I excelled and secured the top position in the Final Project Competition hosted on Kaggle. Also I was deeply engrossed in the field of Neural Computation, aiming to broaden my understanding of neural networks. My focus was on my project titled "Unveiling Glitches: A Deep Dive into Image Encoding Bugs within CLIP." During this time, I secured an A+ in this course.
In addition, I further expanded my knowledge in databases by enrolling in the Design and Implementation of Database Systems course. My goal was to develop a comprehensive understanding of database management principles. Simultaneously, I actively engaged in learning about vector databases, particularly pgvector. I worked towards enhancing the capabilities of vector databases by facilitating the diversification of response sets, implementing dissimilarity constraints, and enabling the low-level composition of multiple queries as a course project, which earned me an A grade. Currently employed as a Teaching Assistant for CSE-182 Introduction to Database Management Systems.
Apart from studies, I'm a big fan of football(soccer), both as a player and a spectator. I find pure joy in the game. Beyond the football field, I'm an avid reader, especially when it comes to non-fiction books about technology and its impact on our world. I'm also deeply inspired by the Indian epics, the Mahabharata and the Ramayana, which I believe hold timeless wisdom and captivating tales. When I'm not chasing a football or immersed in a good book, you can often spot me on cooking something delicious.