Kahini Wadhawan
Senior Research Software Engineer, Trusted AI, IBM Research
New Delhi, Delhi, India
Summary
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Senior🎓
Top SchoolKahini Wadhawan is a Senior Research Software Engineer at IBM Research India with 11 years of experience driving advanced deep learning and NLP research into enterprise-ready solutions. She leads projects on LLMs and Generative AI, specializing in RLHF prompt engineering, multimodal foundation models, and the intersection of causality with NLP for business intelligence. Her work spans the full research lifecycle—from idea formation and algorithm design to deployment, publications, and securing funding—while mentoring junior researchers. Kahini is deeply committed to Trusted AI, focusing on fairness, transparency, safety, and reducing harmful content in large models. She has a proven track record across IBM’s research labs in NY and India and a strong academic foundation from the University of Colorado Boulder. Beyond publications, she blends systems-level engineering with research rigor to translate state-of-the-art models into practical, interpretable applications.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Dr. B. R. Ambedkar National Institute of Technology, JalandharMaster's degree Computer Science, Master's degree Computer Science at University of Colorado Boulder
English, Hindi
Stackoverflow
454reputation
56kreached
10answers
8questions
Github Skills (21)
jasperreports9
generative9
arxiv9
computational-biology9
dynamics8
discovery7
lua6
recursion6
deep-learning6
drug-discovery6
machine-learning6
java6
algorithm6
ireport6
constructor6
Programming languages (2)
Github contributions (5)
CUBigDataClass/Big-Neuron
Feb 2016 - Apr 2016
Contributions:222 PRs, 301 pushes, 1 branch in 2 months
pythonbig-data
IBM/controlled-peptide-generation
Jan 2021 - Mar 2021
source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"
Contributions:12 commits, 12 pushes in 2 months
arxivabsmolecular-dynamicsdrug-discoverydeep-learning
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