Chandrakanth Lekkala
Biography
EDUCATION
May 2016 Master of Science: Computer Information Systems Florida Institute of Technology, Melbourne, FL May 2014 Bachelor of Science: Computer Science And Engineering Jawaharlal Nehru Technological University, AP, India
Results-driven Senior Data/ML Platform Engineer with over 9 years of experience specializing in designing and implementing large-scale data solutions within cloud and big data ecosystems. Proficient in constructing high-performance ETL/ELT pipelines, optimizing cloud infrastructures (AWS, Azure, GCP), and facilitating ML-driven analytics using Spark, Databricks, Snowflake, and Kafka. Certified in SnowPro, Terraform, CKAD, and AWS Developer. Skilled in spearheading automation initiatives, improving cost efficiency, and promoting cross-functional collaboration. Dedicated to transforming complex data into actionable insights and scalable products for business success
Research Interest
AI-Driven Dynamic Resource Allocation in Cloud Computing: Predictive Models and Real-Time Optimization
Abstract
AI-Driven Dynamic Resource Allocation in Cloud Computing: Predictive Models and Real-Time Optimization
This presentation will focus on advanced AI techniques for dynamic resource allocation in cloud computing environments. I will discuss the development of predictive models that leverage machine learning and optimization algorithms to anticipate workload demands and allocate resources efficiently in real time. The talk will cover architectural considerations, implementation challenges, and case studies illustrating how AI-driven resource management improves system performance, cost efficiency, and resilience against cyber threats. Attendees will gain insights into integrating these techniques into modern cloud infrastructures to support secure, scalable operations.
