LLM Code Output
Evaluation and fine-tuning of 2000 prompts and their code output to improve quality of model output along with contributing benchmark output code for 500+ prompts (data collection).
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An expert in digital hematology, pathology and evaluation of LLM generated code, I have 2 years of experience working with high-growth startups. My background is in Computer Science from the best university in India.
Evaluation and fine-tuning of 2000 prompts and their code output to improve quality of model output along with contributing benchmark output code for 500+ prompts (data collection).
Classification of 15000 white blood cell image crops taken using a 100x oil immersion digital pathology scanner on diverse international customer data. White blood Cells were classified into different sub-categories like lymphocyte, Neutrophils etc
Master of Science, Artificial Intelligence and Machine Learning
Bachelor of Technology, Computer Science and Engineering
Member of Technical Staff 4
Senior Software Engineer