About

Affan Shaikh is a skilled software development engineer with expertise in applied NLP and full-stack web development. He is currently working at Amazon as a Software Development Engineer 1. Affan is a competent developer with a strong background in algorithms and data structures, and he holds a Bachelor of Technology degree in Information Technology. Affan's experience includes developing an AutoML framework for NER and text categorization, building an annotation tool to label chats for machine learning, and developing a full-stack web application in ReactJs and MySql. He has also created POCs for in-depth analysis of Fixed Income Products and Automation testing using Cucumber Framework. He is proficient in several programming languages such as C++, Java, Python, SQL, HTML, CSS, and JavaScript. Affan has worked with Credit Suisse as a Technology Analyst and has architected and developed an in-house NLP library over Spacy for NER, sentiment, and intent classification of Bloomberg Chats. He has also worked with different third parties to analyze and parse Bloomberg Chats for Fixed Income. He has developed a notification system, a standalone client data masker, and has done automation using the Cucumber Framework. Affan has received three RAVE (Recognizing and Valuing Excellence) bars for SQL, Data Analytics, and teamwork at Credit Suisse. Affan has also interned with FinIQ Pvt Ltd and a healthcare-based company called Figolive Technologies. At Figolive Technologies, he worked on detecting anomalies in stock market data and testing and code fixing for cross-platform hybrid healthcare apps. In summary, Affan is a competent software engineer with extensive experience in applied machine learning, web development, and database management. He is passionate about algorithms and data structures and has a strong academic background in Information Technology. Affan is a quick learner and a team player who is always willing to take on new challenges.