Back to Top

About

I am an energetic professional with a Master’s degree in Computer Science, with a focus in Computer Networks. During my academic career, I have successfully completed a number of projects, becoming proficient in diagnosing and solving a host of network-related problems, skills which have been honed during my professional experience as well. I am an outstanding communicator, and I excel in collaborating with cross-functional teams to creatively resolve issues and deliver the most effective solutions. a cloud Whisperer & cyber Jedi in Training. By day, I’m a Cloud Data Engineer, architecting pipelines, optimizing performance, and making data dance in the cloud. By night, I’m deep into my PhD in Cyberengineering, unraveling security puzzles. I thrive on cloud, data, and automation, love diving into cutting-edge research, and enjoy fortifying systems before attackers even get a chance. Let’s talk tech, security, and why the cloud is just someone else’s computer—but cooler!

View More >>

Skills

Experience

Cloud Data Engineer

BlueCloud

May-2022 to Present

Education

Illinois Institute of Technology

B.Sc. in Computer Science (Networks)

Passout Year: 2025
University of the Cumberlands

M.SC in Cyber Engineering

Passout Year: 2024
University of the Cumberlands

Ph.D. in Information Technology(IT)

Pursuing

Publication

  • dott image November, 2023

Managing Hybrid Cloud Environments for Large-Scale IT Organizations

Hybrid cloud environments are becoming a strategic choice for large-scale IT organizations as they offer scalability, flexibility, and cost efficiency. However, managing such infrastructures...

  • dott image April, 2023

A Comparative Analysis of Innovative Cloud Data Pipeline Architectures: Snowflake vs. Azure Data Factory

Cloud data pipeline architectures are at the forefront of modern data engineering, enabling organizations to process, transform, and analyse vast amounts of data efficiently. As businesses i...

  • dott image December, 2020

Performance Tuning of 5G Networks Using AI and Machine Learning Algorithms

As the demand for faster and more reliable mobile networks intensifies, the deployment of 5G has emerged as a transformative solution to meet the growing needs of connectivity. However, to f...

  • dott image December, 2020

Performance Tuning of 5G Networks Using AI and Machine Learning Algorithms

As the demand for faster and more reliable mobile networks intensifies, the deployment of 5G has emerged as a transformative solution to meet the growing needs of connectivity. However, to f...

Peer-Reviewed Articles

AI-Powered Automation of Cloud Database Management using Deep Reinforcement Learning and Digital Twins

With an emphasis on financial applications with extremely high performance requirements, this article explores the revolutionary combination of deep reinforcement learning and digital twin technologies for automating cloud database administration. As data volumes and query workloads increase, cloud database systems become more sophisticated, creating management challenges that conventional methods are unable to handle. A potent framework for automated management is produced by combining digital twins, which offer safe virtual replicas for training, with DRL, which enables autonomous learning through contextual interaction. Important functions, including workload management, disaster recovery procedures, resource allocation, query execution planning, compliance maintenance, and cost efficiency optimization, are all enhanced by this relationship. While administrators can do in-depth "what-if" analyses, digital twins offer safe environments for agent training. The integrated system employs phased deployment approaches, customized multi-agent architectures, and sophisticated training mechanisms, including offline reinforcement learning and curriculum learning, to guarantee reliability and safety. Technology convergence benefits financial institutions greatly by resulting in much better performance metrics, more robust systems, and reduced operating expenses while maintaining strict regulatory compliance. While federated learning techniques enable collaborative growth without compromising data privacy, explainable AI systems provide the transparency and auditability needed in financial settings.

Projects

Aug-2017 to Dec-2017

MPathIC: Improving Network Performance using ROSS with Multi path Network Simulations

Certificates

Issued : Aug 2023
  • dott image By : Snowflake
  • dott image Event : SnowPro Core
SnowPro Core Certification
https://www.credly.com/badges/af34c08b-b5d8-4b91-807b-061e1416dd84/linked_in_profile

Honours & Awards

dott image
All India Best Cadet
Awarded by:

National Cadet Corps

Year: 2014

Scholar9 Profile ID

S9-082024-1505869

Publication
Publication

(4)

Review Request
Article Reviewed

(51)

Citations
Citations

(28)

Network
Network

(4)

Conferences
Conferences/Seminar

(0)

Followers