AI Engineer specializing in building robust machine learning architectures, LLM orchestration, and scalable GCP backend infrastructure.
Structured tech buckets demonstrating mathematical foundation, orchestration capabilities, and deployment scalability.
Implementing classical statistical learning models alongside deep neural networks to extract high-accuracy predictions.
Building autonomous agent chains, structured routing, tool binding, and fine-tuning frameworks.
Transforming raw database records into feature pipelines, cleaning distributions, and plotting insights.
Deploying microservices and real-time inference containers on Google Cloud Platform with robust API latency monitoring.
Scholarly contributions to advanced machine learning and multi-agent routing efficiency.
This paper introduces an autonomous graph-routing protocol that dynamically assesses prompt complexity and routes queries to task-specialized LLMs, reducing cloud token overhead by 34% while maintaining 98% accuracy on verification benchmarks.
Read PaperBy combining deterministic decision trees with sparse attention Transformer layers, we outline a fast, offline classification model designed for edge-node deployment, demonstrating an order-of-magnitude reduction in execution latency.
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