# Rahul Vishwakarma - Personal Website

> Chief Technology Officer at WorkOnward | IEEE Senior Member | BCS Fellow | 60+ U.S. Patents

## About

Rahul Vishwakarma is a technology leader and innovator specializing in machine learning, deep learning, generative AI, and agentic AI systems. He serves as Chief Technology Officer at WorkOnward, building next-generation HR technology platforms.

He holds over 60 granted U.S. patents in artificial intelligence, machine learning, and enterprise data storage. He is an IEEE Senior Member, BCS Fellow, and ISSIP Ambassador.

## Expertise

- Artificial Intelligence & Machine Learning
- Generative AI & Large Language Models
- Agentic AI & Multi-Agent Systems
- Agent-to-Agent (A2A) Communication Protocols
- Conformal Prediction & Uncertainty Quantification
- Hardware Security & Trojan Detection
- Enterprise Data Storage & Cloud Infrastructure

## Education

- M.S. Computer Science, California State University, Long Beach (2024)
  - Dean's List (top 1%)
  - Student Commencement Speaker, College of Engineering

## Current Role

Chief Technology Officer at WorkOnward (https://www.workonward.com)
- Building AI-powered recruitment and HR technology solutions
- Developing agentic AI systems for enterprise applications

## Patents

60+ granted U.S. patents covering:
- Machine learning techniques in data analysis
- Smart data management systems
- Hardware health monitoring
- Anomaly detection systems
- System upgrade and update management

Full list: https://patents.google.com/?inventor=Rahul+Vishwakarma

## Publications

Research published in top venues including:
- IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
- Design Automation and Test in Europe (DATE)
- IEEE International Conference on Automation and Computing (ICAC)

Google Scholar: https://scholar.google.com/citations?user=F2eTslkAAAAJ&hl=en&oi=ao

## Book

Author of "Conformal Prediction for Inventors" - A practical guide to designing innovative solutions using conformal prediction in risk-sensitive domains.

Available on Amazon: https://www.amazon.com/dp/9334114894

## Speaking

Featured on IEEE TV and 10+ talks at SNIA Storage Developer Conference (2019-2024):
- Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning (DATE 2024)
- Risk-Aware and Explainable Framework for Hardware Trojan Detection (ICCAD 2023)
- Student Commencement Speaker at CSULB College of Engineering (2024)

## Teaching

Teaching Assistant and Co-instructor at California State University, Long Beach:
- CECS 551: Advanced Artificial Intelligence
- CECS 550: Pattern Recognition
- CECS 456: Machine Learning
- CECS 451: Artificial Intelligence
- CECS 229: Discrete Structures

## Awards & Recognition

- BCS Fellow (2024)
- IEEE Senior Member (2023)
- IEEE Impact Creator
- Outstanding Graduate Research Award, CSULB (2024)
- MIT Solve 2025 Global Economic Prosperity Challenge Semifinalist
- Entrepreneur in Residence, Blue Ridge Labs @ Robin Hood
- Dell Patent Award ($250,000)

## Media Coverage

Quoted in:
- Communications of the ACM (CACM)
- IEEE Transmitter
- EdTech Magazine
- Techopedia
- CXO Today

## Contact

- Website: https://rahvis.github.io
- LinkedIn: https://www.linkedin.com/in/rahulvishwakarma
- Twitter/X: https://x.com/vishwr9
- GitHub: https://github.com/rahvis
- Google Scholar: https://scholar.google.com/citations?user=F2eTslkAAAAJ
- Patents: https://patents.google.com/?inventor=Rahul+Vishwakarma

## Detailed Information

For comprehensive information about Rahul Vishwakarma, see: https://rahvis.github.io/llms-full.txt

## Pages

- Home: https://rahvis.github.io/
- Awards: https://rahvis.github.io/awards/
- Patents: https://rahvis.github.io/patents/
- Talks: https://rahvis.github.io/talks/
- Book: https://rahvis.github.io/book/
- Publications: https://rahvis.github.io/publications/
- Teaching: https://rahvis.github.io/teaching/
- Contact: https://rahvis.github.io/contact/