Professional Summary

I am currently working as a Data Scientist – Global Wealth Management Americas at UBS Business Solutions Pvt. Ltd. (Swiss Bank) in Navi Mumbai (December 2025 – Present). In this role, I lead the development of production-grade AI systems leveraging Large Language Models (LLMs) for financial intelligence and wealth management operations. I spearheaded an AI-driven lead classification engine that automated prospective lead categorization, improving operational efficiency by 30%, achieving 97% accuracy, and saving 40+ hours of manual effort for Financial Advisors.

Previously, I worked as a Junior Data Scientist at Kshema General Insurance (June 2024 – November 2025), where I developed and fine-tuned an in-house Multi-Agent Large Language Model (LLM) system to enhance internal operations, automate workflows, and enable data-driven strategic decision-making across the organization.

My professional interests center on the design, development, and optimization of Machine Learning, Deep Learning, and Computer Vision models for both edge and large-scale systems. With a strong foundation in Artificial Intelligence and applied research, I am passionate about building scalable, intelligent solutions that drive innovation and efficiency.

I earned my MS in Computer Science and Engineering (CSE) by Research from IIIT Hyderabad, India, under the guidance of Dr. Deepak Gangadharan. My thesis, titled "Over the Horizon of Connected Vehicles: Advancing Security, Reliability, and Cost-Efficiency through Vehicular Edge Computing", explored novel approaches to improving the security, reliability, and cost-effectiveness of connected vehicular ecosystems through advanced edge computing architectures.

During my MS, I worked as a Teaching Mentor at TalentSprint and a Teaching Assistant at Conduira, supporting academic instruction and technical training initiatives. I also served as a Software Engineer at the Smart City Research Center, IIIT Hyderabad, contributing to the development of innovative urban technology solutions aimed at smarter and more sustainable cities.

I hold a Bachelor of Technology in Electronics and Communication Engineering from JNTU Hyderabad (ACE Engineering College), which provided a strong foundation in analytical thinking, systems design, and technical problem-solving.

Research Interests

Large Language Models, Multi-Agent Systems, Machine Learning, Deep Learning, Computer Vision, Edge Computing, Neural Networks, Anomaly Detection, Time Series Forecasting, Vehicular Edge Computing, Cyber-Security, UAVs, Intelligent Systems, Data Platform Architecture, Energy-Aware Analysis, Adversarial Attacks, Adaptive Networks, and Cyber-Physical Systems.

Publications

  • Scalable and Interoperable Distributed Architecture for IoT in Smart Cities

    Pranavasri, V. J. S., Leo Francis, Ushasri Mogadali, Gaurav Pal, SVSLN Surya Suhas Vaddhiparthy, Anuradha Vattem, Karthik Vaidhyanathan, and Deepak Gangadharan. "Scalable and Interoperable Distributed Architecture for IoT in Smart Cities." In 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), pp. 01-06. IEEE, 2023.