passionate and curious
Computer science student at NC State. Researcher. Builder. I solve high-stakes technical problems and architect solutions that scale. Currently building something innovative
Campanion
Acquired funding and working on startup in the edtech space. Building innovative solutions to transform educational technology and learning experiences.
Cohere Labs
Developing models for dynamic role assignment and efficient communication through graph-based protocols. Working with Multi-Agent Reinforcement Learning.
UNCC College of Computing and Informatics
Conducting research on causal inference and causal effect estimation using DoWhy libraries and causal models. Working under Principal Investigator Dr. Gabriel Terejanu to develop advanced methods for understanding causal relationships in complex systems and applying these techniques to real-world problems.
The VONG Movement
Researching predictive models and creating trends. Used for weather prediction and pollution management.
NCSSM
Assisted in teaching pre-calculus to high school students at the #1 public school in the USA. Provided one-on-one tutoring and helped develop curriculum materials.
Lenovo Innovation Program
Researched and built applications for Lead Poisoning Awareness.
NCSSM
Conducted research on large language models for scientific applications. Fine-tuned models with multiple prompt engineering techniques to analyze efficiency.
Developed a sophisticated multi-agent system that enables dynamic role assignment and efficient communication through graph-based protocols. The platform supports scalable coordination for complex distributed tasks.
Built a modular server for causal inference analysis using FastMCP and DoWhy frameworks. Enables researchers to perform complex causal analysis with high performance and scalability.
Created an intelligent assistant system that combines research capabilities, voice interaction, and automated scripting. Designed to streamline research workflows and enhance productivity.
Developed an automated system for discovering optimal neural network architectures using reinforcement learning and evolutionary algorithms. Reduces manual hyperparameter tuning by 67%.
Built a real-time emotion recognition system that processes facial expressions, voice tone, and physiological signals to accurately predict emotional states with 71% accuracy.
Implemented an autonomous navigation system for drones using computer vision and reinforcement learning. Enables safe flight in complex environments with dynamic obstacle avoidance.