Rushabh Dharamshi

WORK HISTORY

EDUCATION

ABOUT RUSHABH DHARAMSHI

Fuelled by a genuine passion for technology and its potential to transform businesses, I am currently pursuing a BSc Hons degree in Computer Science at the University of Southampton. My curiosity lies at the intersection of intelligent systems, scalable architecture, and business strategy. Proficient in Java, Python, SQL and Machine Learning, I’m especially interested in architectural roles such as Data Architect, Solutions Architect, and Enterprise Architect, where I can contribute to the design of systems that are not only efficient and robust, but also adaptable to the evolving demands of modern enterprises. As part of my A-Level Computer Science NEA, I developed a conceptual Stock Management System inspired by real-world grocery supply chains. This project served as my first deep dive into how software systems can model and optimize operational workflows. Through this, I gained valuable insight into supply chain dynamics, such as inventory forecasting, demand fluctuations, and data-driven decision-making. It also sparked my growing interest in Machine Learning, particularly how predictive models can enhance efficiency and accuracy in such systems. Since then, my focus has expanded toward understanding how intelligent and scalable architectures can be applied across sectors—from logistics to finance. I’m particularly fascinated by algorithmic trading, where high-performance infrastructure, data flow, and real-time analytics converge. This summer, I am looking forward to starting an internship at the London Stock Exchange Group (LSEG), which I view as a foundational opportunity to gain exposure to the financial industry and deepen my understanding of how large-scale systems operate in fast-paced, data-intensive environments. Beyond my technical foundation, I strive to become a versatile individual who bridges technology, business, and finance by understanding client needs and translating them into intelligent, scalable solutions. By combining strong communication skills with expertise in machine learning and systems architecture, I aim to deliver innovative, data-driven outcomes that drive real business impact and distinguish me as a strategic technology partner. Open to internships, professional collaborations, and meaningful conversations, I am excited to keep learning, growing, and contributing to the dynamic interface of technology and enterprise innovation. Feel free to connect or reach out to discuss opportunities or share insights.