Isha Chaturvedi
About Isha Chaturvedi
Machine Learning Scientist with 5+ years of industry experience in ML, and has worked in Conversation AI and Computer Vision. Currently working on building Foundational LLMs, evaluations, and Prompt Engineering. Oreilly Instructor for Hands-on Few-Shot and Prompt-Based Learning Course Recognized as a "patent inventor" within Capital One. Reviewer at Pattern Recognition Letters. Relevant Skillset: Python, TensorFlow, Keras, Pytorch, OpenCV, NLTK, NumPy, Scikit-Learn, Pandas, PySpark, SQL, Android App Development Relevant Coursework: Natural Language Understanding, Realtime Big Data Analytics, Machine Learning, Inferential Statistics, Object Oriented Programming, Data Structures & Algorithms, Databases, Discrete Mathematics, Human-Computer Interaction, Artificial Intelligence Fundamentals Talks: - Speaker at Computer Vision Summit 2023 and AI Festival 2023: https://computervisionsummit.com/location/cvsanjose/speaker/ishachaturvedi - ODSC East 2022: https://odsc.com/speakers/few-shot-learning/. Wrote a blog as well: https://odsc.com/blog/introduction-to-few-shot-learning/ - Global AI Conference 2021: technical workshop on ‘Deep Dive into Computer Vision’. http://www.globalbigdataconference.com/santa-clara/global-artificial-intelligence-virtual-conference-125/speaker-details/isha-chaturvedi-114025.html. - ACM Intelligent User Interfaces (IUI) 2019: https://www.youtube.com/watch?v=RZhZ2PlMhgc - ODSC East 2019: https://aiplus.odsc.com/courses/open-data-science-conference-east-2019-boston-usa (Accelerate AI Summit (Cross Industry), Automated Detection of Street-Level Product Displays) - Global Big Data Conference 2019: http://www.globalbigdataconference.com/santa-clara/7th-annual-global-big-data-conference-119/speaker-details/isha-chaturvedi-93461.html - NYU Applied Urban Science Group 2018 Lightning Talk: https://spark.adobe.com/page/Va8H5tqpVKKoD/ (WeR: Bringing Stadium to Your Living Room) Google Scholar: https://scholar.google.com/citations?user=qpc56jkAAAAJ&hl=en&oi=ao Github: https://github.com/ishacusp