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2022-2023 Cohort

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Vansh Agarwal

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Vansh Agarwal founded Rapid Leads during India's second COVID-19 wave, collecting verified leads of various COVID resources through a glide-based app.

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Kushal Agrawal

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Kushal Agrawal is a former software developer and data scientist at Flipkart, India's largest e-commerce platform.

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Shaashwat Agrawal

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Shaashwat Agrawal is a developer with expertise in Machine Learning Algorithms, Data Visualization, and Optimization Algorithms.

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Priyanka Aryal

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Priyanka Aryal is a former integrations developer at Borer State Electric passionate about leveraging AI to make a positive impact in underprivileged communities.

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Theresa (Andrea) Corrales

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Theresa (Andrea) Corrales is passionate about leveraging AI for environmental sustainability and healthcare, inspired by her studies in Conservation Psychology and internship at AbbVie.

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Hardik Doshi

M.D.

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Hardik Doshi is a Cardiac Electrophysiologist and MSAI-X fellow at Northwestern Bluhm Cardiovascular Institute with a focus on integrating AI in cardiology and electrophysiology to enhance diagnostic testing and treatment for heart rhythm disorders.

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Shruthi Hariharan

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Shruthi Hariharan is a former Senior Software Engineer at Samsung R&D Institute with primary experience in text intelligence and natural language processing/generation.

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Gautam Iruvanti

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Gautam Iruvanti is a former Software Engineer at Société Générale, where he built data pipelines, performed ETL operations, and maintained data warehouses for the bank's BRBD department.

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Hee Youn Kwon

Ph.D

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Hee Youn Kwon holds a BS in Mathematical Sciences from KAIST, an M.Phil in Economics from Oxford, a PhD in Systems and Entrepreneurial Engineering from UIUC, and postdoctoral experience at Northwestern and KAIST.

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Tom Liu

M.D.

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Tom Liu is a Research Fellow at the Northwestern Bluhm Cardiovascular Institute dedicated to integrating AI in healthcare to optimize the delivery of care and transform the future of surgery.

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Laura Machlab

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Laura Machlab is currently working in an R&D position at the C3 lab at Northwestern where she utilizes machine teaching software for medical image classification.

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David McDevitt

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David McDevitt is an analytics and strategy expert with experience in forecasting, in-store optimization, and data analysis from his previous work at IRI, Charles River Associates, and Global Poverty Research Lab at Northwestern.

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Yaqi Miao

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Yaqi Miao is a former Platform Software Engineer at Oracle NetSuite where she designed and implemented the server-side and client-side services, APIs, and scripting framework.

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Praneet Mylavarapu

M.D

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Praneet Mylavarapu is a Cardiovascular Disease Fellow at UCSD with extensive research experience in Interventional Cardiology, Electrophysiology, and AI in Cardiology.

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Sai Pravallika Myneni

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Sai Pravallika Myneni is a former Machine Learning Intern at CURVEX and Research Intern at Indian National Centre for Ocean Information Services.

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Rohin Nanavati

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Rohin Nanavati pursued research projects in the fields of Computer Vision, Natural Language Processing, and Adversarial Machine Learning during his undergraduate studies.

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David Nielsen

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David Nielsen is a former intern at Nelson Jameson, where he worked on optimizing truck delivery routes for a new warehouse location.

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Surya Parmar

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Surya Parmar is a former Senior Research Engineer at Samsung R&D Institute Bangalore where he worked for the Natural Language Understanding (NLU) team.

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Akangkshya Pathak

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Akangkshya Pathak previously worked on research-based internships and projects focused on Computer Vision and Natural Language Processing.

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Pranav Pawar

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Pranav Pawar builds AI products for data-driven investing at Bain Capital Ventures and is passionate about generative AI.

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Aparna Ramachandran

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Aparna Ramachandran has been at the forefront of developing innovative solutions across various domains such as Machine Learning, Blockchain, and Payment and Reward Capabilities at American Express.

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Venkatakrishnan Ranganathan

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Venkatakrishnan Ranganathan is an experienced Cloud and Solutions Architect with over 11 years of professional experience and a passion for NLP and its applications in healthcare, law, and journalism.

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Gianna Rasmussen

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Gianna Rasmussen wants to create AI that will help with wildlife and aquatic conservation efforts, the exploration of earth's waters and in space, and will improve the lives of people with disabilities.

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Aanchal Sahu

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Aanchal Sahu is an AI engineer with over two years of experience in AI research and extensive experience in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Data Analytics.

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Sagnik Sarkar

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Sagnik Sarkar is passionate about applying AI to real-world projects, including building a deep learning model to reduce ECG leads in wearable devices and predicting COVID-19 stress impact on patients.

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Ilesha Sawarkar

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Ilesha Sawarkar is passionate about the application of AI in Banking and Insurance domains and looks forward to applying AI in the Healthcare domain.

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Gaurav Sharma

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Gaurav Sharma is passionate about using his knowledge in NLP, Conversation Assistants, and Computer Vision to solve real-world problems for businesses and communities.

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Vishal Shrivastava

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Vishal Shrivastava is a cognitive computing enthusiast whose current research interest lies in "distributed knowledge representation and interactive learning with privacy preservation in stochastic multi-agent environments".

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Shikher Srivastava

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Shikher Srivastava is a former Global Technology Graduate at HSBC where he and his team built an AI virtual assistant that supported voice-based banking capabilities to help visually impaired customers.

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Milind Kesar Thummala

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Milind Kesar Thummala is passionate about building intelligent systems that rely on machine learning to solve a plethora of real-world problems.

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Kartikeya Vats

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Kartikeya Vats is a former Data Scientist at IBM who specialized in AI for over five years. Kartikeya worked extensively on Recommendation Systems, optimizing Neural Networks for low powered devices and multiple Deep Learning on edge use cases.

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Varsha Velumani

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Varsha Velumani is a former Software Development Engineer at Zerodown, where she implemented multiple pipelines, databases, and models to improve the performance of Zerodown's mortgage products.

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Xinhan Yan

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Xinhan Yan is a former SDE and AI intern in Microsoft China, where he reviewed algorithms and papers of machine learning, especially in the field of facial recognition and knowledge graph relation prediction.

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Rui Chun Zhang

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Rui Chun Zhang is a former Data Engineer in the R&D Lab of Sea Group passionate about applications of data science in the domain of Financial Technology and e-commerce.

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Zhuoyang Zou

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Zhuoyang Zou is a former research assistant in CUHK medical image analysis AI lab where she coded interactive scripts to develop a VR application to simulate surgical processing and add AI functions to healthcare.

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Simon Zouki

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Simon Zouki previously worked at a US-based startup, auxi, as a Machine Learning Engineer, and later at Odoo as an AI developer.