My team and I are developing ML models for customer support usecases. - These include generative AI for support usecases - agent facing (eg: summarization) and consumer facing (chatbots), We have strong collaborations with Google and OpenAI working with their latest models and technology. Prompt engg techniques, Fine tuning , distillation step by step. - We also work on Adaptive Experimentation for refund and appeasement problems focused on causal inference, uplift modeling, meta-learners (s/t), DID, matching w regression adjustments and contextual bandits. (SquareCB, FalconCB)I also have a experience in computer vision and medical imaging• Machine learning for medical imaging/healthcare (Carl Zeiss Meditec) • Image denoising using noise2noise. IITE 2019. (Application of noise2noise, TensorFlow, Python) •Image super-resolution Enhance Vessel Continuity in optical coherence tomography images. ARVO 2019 (TensorFlow, Python) •GANs for image generation application of Pix2pix • Industrial imaging (intel). --- Patents --- 1. Method for analyzing avascular regions in optical coherence tomography angiography images2. SYSTEM FOR OCT IMAGE TRANSLATION, OPHTHALMIC IMAGE DE-NOISING.Contact me at : "MYFIRSTNAME"b86@gmail.com