Rikesh Yadav
Currently Researching

Curriculum Vitae

A comprehensive overview of my academic background, research experience, technical expertise, and ongoing work in Artificial Intelligence.

Research InternAI ResearchMachine LearningGraph Neural NetworksReinforcement LearningExpected Graduation 2027
Current Status
Undergraduate Researcher
Expected Graduation
Spring 2027
Research Focus
Artificial Intelligence
Specialization
Graph Neural Networks & RL
Core Interests
Trustworthy & Edge AI
Location
Global / Remote
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Academic Highlights

A curated overview of my capabilities and achievements. Please download the full Curriculum Vitae for comprehensive details on publications, patents, and complete work history.

Core Research Areas

  • Deep Reinforcement Learning (DRL)
  • Graph Neural Networks (GNN)
  • Multi-Agent Systems
  • Intelligent Evacuation Systems

Technical Arsenal

  • Python, C++, JavaScript
  • PyTorch, TensorFlow, Keras
  • SUMO, TraCI
  • Next.js, React, Node.js

Research Projects

  • Adaptive Evacuation (RL-GCN)
  • Candidate Profile Transformer
  • MindMate AI Companion

Academic Achievements

  • Research Internship - INEC Lab (Taiwan)
  • Multiple hackathon victories
  • Top-tier GPA & Academic Excellence