Diwakar is a Senior Research Software Engineer at IBM Researchs Healthcare & Life Sciences group, where he builds AI and LLM systems for drug discovery. A Columbia University graduate, his work aligns biological data with language models to aid researchers. Colleagues describe him as enthusiastic and an expert in NLP.
He demonstrates a strong commitment to continuous learning, recently earning a Mini-MBA for Engineers and Technology Managers. Diwakar is also a certified Open Source Committer, indicating his involvement and contribution to the open-source community.
Diwakar won a Best Paper Award for his research on clinical language models and received an Outstanding Technical Accomplishment award for his work on IBMs COVID-19 Taskforce.
Read the full overview →Unless the value is proven by data, they are unlikely to value fancy features. It is very likely that they will negotiate pricing or other important terms. They prefer to analyze logically and value objective facts over emotions.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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