About

Rajat Singhal is a FullStack Developer with over 3 years of experience in the field of software engineering. He has worked with top companies like Twitter and Amazon, and has expertise in various technologies such as React, NodeJS, Java, SQL, NoSQL, AWS, GCP, and more. He is also skilled in AI technologies such as Machine Learning, Deep Learning, and Computer Vision. Rajat has launched a Music and Movie streaming website with monthly 100k visitors and 10k Alexa Global Rank. He is open to project collaboration, mentoring, seeking help, guidance, or queries related to any of the above-mentioned technologies. Currently working as a Software Engineer - Machine Learning at Twitter, Rajat is part of the CFFM (Core Features and Foundational Modeling) Team. He is responsible for building the Add Tech for Twitter and has developed tools such as Feature Importance Tracker and Feature Analysis Dashboard, which have drastically improved feature engineering velocity. Prior to Twitter, Rajat has worked as a Software Engineer at Amazon and Urban Company. At Amazon, he was part of the in-dex choices Team and worked on developing HOTW, which is the automation of model artifacts deployment process for address suggestions from scratch. At Urban Company, he was part of the partner onboarding team and worked on developing self-serve flows for partner onboarding, which reduced the cost of acquisition. Rajat holds a Bachelor of Technology - BTech (Hons.) degree in Computer Science from Institute of Engineering and Technology. He has also completed Senior Secondary School from Karan Public School. Rajat's tech stack includes Software Engineering, ML, SQL, AWS, Javascript, Python, Backend, Frontend, Java, GCP, Research Scientist, Computer Vision, MongoDB, Deep Learning, AI, MySQL, NoSQL, Docker, Data Scientist, Pandas, Web, Kafka, Integration, OpenCV, Redis, Kubernetes, Neural Networks, Elastic Search, Spring, iOS, Microservices, Search, Azure, and Mobile.