Harsh Poddar is a Data Scientist at Sequoia since February 2024, previously serving as a Machine Learning Researcher at Quantiphi from August 2021 to February 2024, where focus was on Generative AI applications in proteomics within the Lifescience and Healthcare division. Harsh has developed end-to-end state-of-the-art Diffusion models and utilized cloud services for model development and data processing. Additionally, experience includes building a vanilla Neural Network model from scratch using NumPy and applying various advanced Neural Network architectures, such as VGG16, ResNet50, and InceptionV3. Education includes a Bachelor of Technology in Biotechnology from the Indian Institute of Technology, Roorkee, obtained in 2021, and earlier studies at DIVYAPATH CAMPUS from 2015 to 2017.
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