A Minimalist Bayesian Sapien contributing to the universe's entropy
Senior AI Researcher at Quantiphi Analytics specializing in LLM routing systems and neural network optimization. My work focuses on building intelligent, cost-efficient AI systems that balance performance with resource constraints.
- LLM Router Systems: Developing intelligent model selection systems that optimize cost-performance trade-offs
- Neural Network Optimization: Working on advanced routing algorithms for efficient resource allocation across AI models
- Synthetic Dataset Generation: Exploring novel approaches for training robust routing systems
- MS Thesis: Neuroticism Alignment Detection for Misogyny Aggression via Hierarchical Explanation Methods
I regularly share insights on AI research, routing systems, and machine learning:
- π Personal Website
- π Substack
- βοΈ Medium
- π X/Twitter
- Quantum Machine Learning
- Reinforcement Learning for Routing
- Reasoning Systems & AI Extrapolation
- Computational Efficiency in Neural Networks
- Self-Evolving AI Agents
- LLM Routing Systems: Adaptive routing with dynamic cost optimization
- Router Evaluation Frameworks: Comprehensive benchmarking and analysis tools
- Synthetic Training Data: Efficient dataset generation for routing models
I'm always interested in discussions about:
- Advanced routing mechanisms for LLMs
- Neural network optimization techniques
- Quantum ML and its practical applications
- The gap between AI research and real-world deployment
Feel free to reach out or explore my repositories! π
"In the realm of uncertainty, we find clarity through Bayesian reasoning"