Portfolio

Illustrates the practical application of LLMs in improving customer service operations. Details the engineering process from model selection to deployment, emphasizing measurable improvements in efficiency and customer satisfaction.

A foundational series explaining core concepts in building and managing LLMs. Covers essential engineering principles for developers entering the LLM space, emphasizing clarity and practical application.

An article series detailing innovative approaches to LLM architecture design. Focuses on enhancing efficiency, scalability, and performance for real-world use cases. Explores trade-offs in model design for tangible business impact.

Explores the engineering challenges and solutions for deploying LLMs in production environments. Highlights strategies for high availability, low latency, and robust performance monitoring to ensure measurable business value.

Focuses on transparently defining and tracking key performance indicators for LLMs. This project showcases methods for quantifying the business impact and ROI of implemented language models.

A deep dive into techniques for optimizing the training process of large language models. Covers resource management, distributed training, and hyperparameter tuning to achieve faster, more cost-effective model development.