Resume
Researcher
ORCID: 0009-0007-1963-6104
Rahul
Pulimamidi
Whitsett, USA
Citations
-
Contact Info
Resume
About

Senior expert and Web/UI Architect with in-depth knowledge of enterprise standards and proficiency in program development and execution. Exhibits magnificent correspondence, relational administration, and analytical reasoning abilities.

My research experience focuses on exploring innovative applications of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in domains such as healthcare informatics and data analytics. I have contributed to advancing solutions for critical challenges in technology and healthcare through interdisciplinary collaboration and rigorous analysis. Challenges and improving outcomes in healthcare and other industries.

Professional Skills
PHP
Web Development
Java Programming
Software Development
C++
SQL
Object-Oriented Programming
Data Mining and Knowledge Discovery
Data Science
Web Programming
Node
Express.js
PHP 5x/4x
MAGENTO (e-commerce)
YII FRAMEWORK (MVC)
DRUPAL 7 (CMS)
HTML 4/5
DHTML
JavaScript
Typescript
jQuery
ES5
ES6
Electron
AngularJS
Angular Latest
NgRX
RxJS
Angular-based Micro frontend
React.js
Angular Material Design
Bootstrap
Handlebars.js
AJAX
JSON
XHTML
SASS
LESS
CSS
CSS3
Spark SQL
Spark Streaming
Amazon Web Services (AWS)
Oracle
d3.js
Enterprise Architect
Application Development
Data Visualization
Big Data
Internet of Things
AI
R Programming
Work Experience
UI Developer/Software Developer
SupraSoft, Inc October 2021 - June 2023
Node
ElectronJs
Typescript
Angular 12+
Webpack
Angular Material
Bootstrap
DB2
Rest API
GRUNT
Software Engineer
SupraSoft, Inc February 2019 - August 2021
Node
NPM
Angular
ElectronJs
JQuery
TypeScript
Rxjs
Angular 11v
Angular material
Webpack
Programmer Analyst
SBase Technologies, Inc April 2017 - February 2019
JAVA
Node
NPM
Electron
Javascript
Typescript
AngularJs
Angular10
Grunt
Angular Material
Programmer Analyst
SupraSoft Inc January 2017 - April 2017
IL, USA
JAVA
JSP
MySQL
jQuery
JavaScript
Bootstrap
CSS3
CSS
HTML5
Rest API
Software Engineer
Option Matrix InfoTech Pvt April 2013 - August 2015
Hyderabad, India
JAVA
PHP5
LAMP
XAMP
SQL
JQUERY
YII
Magento
Drupal
AngularJs
Education
University of the Cumberlands
Jan 2018 - Aug 2021
Information Technology
San Francisco Bay University
Aug 2015 - Dec 2016
Computer Science
Judge of The Works of Others
Editorial Board Member
Apr 2024 - Present
Asian Journal of Multidisciplinary Research
Peer Reviewer
Apr 2024 - Present
Journal of Science & Technology
Peer Reviewer
Sep 2023 - Present
Soft Computing
Peer Reviewer
Oct 2023 - Jun 2024
Measurement: Sensors
Presentations/Talks
MODELING AND ANALYSIS – IoT Enabled Healthcare Monitoring Systems
SRM Institute of Science and Technology, Kattankulathur Campus, India Apr 2024
IEEE International Conference on Networking and Communications
  • Invited as a guest of honor to deliver an interactive talk, sharing insights on the latest developments in Internet of Things technology.
  • Presented research on "MODELING AND ANALYSIS – IoT Enabled Healthcare Monitoring Systems," focusing on the integration of IoT in remote health monitoring.
  • Engaged with researchers and students, facilitating discussions on innovative solutions and challenges in IoT healthcare applications.
  • Contributed to the conference objectives by enhancing research discussions and fostering collaborative activities in the field of networking and communications. 
Applications of machine learning approaches for the fault diagnosis of self-aligning carrying idlers in belt conveyor system
Coimbatore, India Jan 2024
International Conference on Computer Communication and Informatics (ICCCI)
Membership
Senior Member
Aug 2024 - Permanent
Institute of Electrical and Electronic Engineers (IEEE)
Full Member
Jul 2024 - Permanent
Sigma Xi, The Scientific Research Honor Society
Member
Nov 2023 - Jul 2024
Institute of Electrical and Electronic Engineers (IEEE)
Certifications
HDP Certified Spark Developer
Issued on Mar 2017
Hortonworks
Patents
Development Of Machine Learning Approach for Anomaly Detection In IOT
Issued | Oct 13 2023 | Intellectual Property India | 202311063736

The present invention introduces an innovative machine learning approach for anomaly detection within the Internet of Things (IoT) landscape. As IoT continues to burgeon, the need for robust and adaptable anomaly detection mechanisms becomes paramount. Our system combines tailored data preprocessing with cutting-edge machine learning algorithms to provide real-time, dynamic anomaly detection. This approach not only optimizes IoT data for analysis but also allows for userconfigurable thresholds and parameters, ensuring versatility across various IoT applications. With its capacity to swiftly identify anomalies in dynamic data streams, this invention offers a pivotal contribution to the security and performance of IoT ecosystems.

Media Publications
• Transforming Patient Care: Dr. Rahul Pulimamidi's IT Innovations
Digital Journal

Feature article on Dr. Rahul Pulimamidi's contributions to patient care through innovative IT solutions.

• Enhancing Healthcare with Technology: Dr. Rahul Pulimamidi's Impact
TechBullion

An in-depth look at Dr. Rahul Pulimamidi's influence on the healthcare sector through technological advancements.

Harnessing AI and IoT: The Future of Healthcare
MediTech Today

Article discussing the integration of AI and IoT in healthcare and its potential to revolutionize patient care.

Prizes and Awards
Best Publication Award 2024
New Rains | Apr 2024
Realted Researchers