Arav Singh Patel

CSE Undergrad @ VIT Vellore · AI&ML Intern @Bajaj Finserv · Vice Chair, Bulls & Bears · Research Intern (CFM Lab) · ML | Algorithms | Leadership

Vellore, Tamil Nadu, India

About

Experience

  • Artificial Intelligence and Machine Learning Intern at Bajaj Finserv
    May 2026 - Present · 2 mos

    Working as a AI & ML Intern at Bajaj Finserv in the Data Science & AI Unit at the Pune Corporate Office. Gaining hands-on experience in machine learning, NLP, deep learning, and real-world AI applications while collaborating on industry-scale projects and data-driven solutions.

  • Bulls and Bears: The Finance Club, VIT (Vellore, Tamil Nadu, India · On-site)
    • Vice Chair
      Jan 2026 - Present · 6 mos

    • Core Member
      Jul 2025 - Present · 1 yr

  • Campus Ambassador for Cognizance 2026 at Indian Institute of Technology, Roorkee
    Jan 2026 - Present · 6 mos

    Cognizance, scheduled from 13th to 15th March 2026, is one of India’s premier technical festivals, bringing together innovation, learning, and collaboration on a national scale. As the Campus Ambassador at Vellore Institute of Technology (VIT), Vellore, my responsibilities include: • Representing Cognizance 2026 as the official point of contact on campus • Promoting events, competitions, and updates within the student community • Encouraging active participation and engagement from peers

  • Core Member at Centre for Social Entrepreneurship and Development
    Feb 2025 - Jan 2026 · 1 yr

    Events and Technical Domains

  • Student Intern at Centre for Functional Materials (CFM), VIT Vellore
    Dec 2024 - Jan 2025 · 2 mos

    Project: Neuromorphic Memory and Computing Devices During my internship, I developed a Python-based automation system for semiconductor testing, focused on neuromorphic memory and computing devices. • Built a Tkinter GUI integrated with PyVISA for seamless instrument control, enabling researchers to automate voltage/current measurements and streamline device evaluation. • Implemented real-time data acquisition and visualization using Matplotlib, providing instant insights into device performance and trends. • Enhanced system reliability through robust error handling and multi-threading, ensuring smooth GUI operation and minimizing downtime. • Applied data filtering and averaging techniques to improve measurement accuracy and consistency. • Reduced manual testing time by 40% and improved data reliability for quality control in semiconductor fabrication. Key Skills: Python, PyVISA, Tkinter, Matplotlib, Instrument Automation, Semiconductor Testing, Data Visualization, Error Handling This project gave me hands-on experience at the intersection of software automation and hardware testing, directly supporting advanced research in neuromorphic computing.