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Rahul Bansal
Software Engineer @ Google || ex- Microsoft || IIT Delhi
About
Rahul Bansal is a highly skilled Software Engineer at Microsoft with a Bachelor of Technology degree in Computer Science and Engineering from the prestigious Indian Institute of Technology, Delhi. With over 3 years of relevant experience, he has a solid background in iOS and Android development, Objective-C, Swift, and Python. Rahul has a passion for research and has worked as a Research Scientist at AB InBev, where he developed a Context-Aware sequential Recommender System using RNNs to Recommend a cart of Beer to Retailers. He also integrated the same Recommender system in the Recommender Engine (RecSys) of AbInBev. He has also worked as a Software Engineer Intern at RedMart, where he developed an Image Similarity model using Deep Convolutional Neural Networks for matching product images and used the feature similarity model for mapping RedMart products to competitor products. Rahul also built an API for Automated Data Analysis, Visualisation and Data Retrieval based on Competitor's data, and drew strategies for the Pricing Engine, also giving new Product Recommendations to RedMart. Rahul is a versatile and innovative problem solver with a keen eye for detail. He is proficient in Jupyter and Neural Networks, and his technical skills are complemented by excellent communication and collaboration abilities. Rahul is a self-motivated and driven individual who thrives in a fast-paced environment. In summary, Rahul Bansal is a highly skilled Software Engineer with a passion for research and innovation. He has a proven track record of delivering high-quality solutions and has worked with some of the top companies in the industry. Rahul is an asset to any team and is committed to achieving excellence in his work.
Education Overview
• iit delhiindian institute of technology delhi
• saint fateh singh convent school
• st. xavierss high school
Companies Overview
• microsoft
• ab inbev
• redmart
• indian institute of technology delhi
Experience Overview
4.6 Years
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