Sreedhar Yalamati

Sreedhar Yalamati is a seasoned, results-driven enterprise leader in driving transformation for enterprises in financial services. Sreedhar has 20+ years of technology engineering and management experience, having worked at Franklin Templeton, Intel Corporation, California Franchise Tax Board in various roles for Distribution, Investment Operations, and Enterprise Data & Analytics. Sreedhar’s expertise encompasses a broad spectrum of financial technologies and innovations which majorly includes Machine Learning/Artificial Intelligence, and cloud-based platforms. Sreedhar is deeply experienced in cultivating digital user experiences, enhancing trading platforms, tokenization, fraud prevention models, personalization strategies, and design thinking. Sreedhar had the fortune to lead large-scale programs and product development initiatives that involved engineering enterprise products and platforms, enterprise infrastructure management, and migrating enterprise applications to the cloud. Sreedhar has been a strong team builder and coach skilled at inspiring confidence, leading by example, and managing high-performance teams committed to quality.

Publications

Algorithmic Insights: Exploring AI and ML in Practical Applications
Algorithmic Insights: Exploring AI and ML in Practical Applications
Sreedhar Yalamati, Rama Krishna Vaddy. © 2024. 14 pages.
This chapter delves into the profound impact of artificial intelligence (AI) and machine learning (ML) in practical, real-world applications. Unveiling the transformative...
Data Privacy, Compliance, and Security in Cloud Computing for Finance
Data Privacy, Compliance, and Security in Cloud Computing for Finance
Sreedhar Yalamati. © 2024. 18 pages.
In the rapidly evolving landscape of finance, where data integrity and security are paramount, the adoption of cloud computing presents both opportunities and challenges. This...
Smart Data Processing: Unleashing the Power of AI and ML
Smart Data Processing: Unleashing the Power of AI and ML
Sreedhar Yalamati, Ravi Kumar Batchu. © 2024. 17 pages.
In this chapter, the authors delve into the transformative realm of smart data processing, exploring its pivotal role in harnessing the full potential of artificial intelligence...