Publications and awards
Presented research on applying Artificial Neural Networks for breast cancer detection, exploring model architectures and classification performance on medical imaging data.
Co-authored a study analyzing how varying context lengths impact LLM performance and output quality degradation, providing insights into optimal context window utilization for production deployments.
Recognized for outstanding technical contributions, innovative solution development, and successful delivery of critical AI/ML projects.
Recognized for exemplary professionalism, effective client engagement, stakeholder collaboration, and consistently high performance during the internship.