About

Sajid Iqbal is a highly skilled Backend AI Engineer with 2.86 years of relevant experience. He is currently working at level ai, where he collaborates with a team of talented engineers to solve real-world problems, analyze data, and capture insights as a key commercial asset. Sajid is responsible for developing scalable, fit-for-purpose applications that leverage AI to deliver value to clients. Before joining level ai, Sajid worked as a Senior Software Developer at digi, where he gained extensive experience in software development and honed his skills in Python, AWS, and Elastic Search. He also worked as a Trainee Decision Scientist at mu sigma, where he collaborated with the Data Science, Data Analytics, Data Engineering, and HR teams of Fortune 100 retailer companies. During his time at mu sigma, Sajid helped clients across multiple projects in Supply Chain and Inventory Planning Optimization, Work-Flow and Automation, Digital Marketing, and Human Resource Management domains. Sajid holds a Bachelor of Engineering degree from Jadavpur University, where he studied from 2014 to 2018. He also completed a Computer Science Professional Course from Scaler Academy in 2020. Sajid's education has equipped him with a strong foundation in AI, Backend, Python, and SQL, among other technologies. Sajid's tech stack includes AI, Backend, Python, AWS, Elastic Search, Apache Airflow, Django, Data Engineering, Research Scientist, MySQL, SQL, Search, Spark, Big Data, Data Scientist, Pandas, MongoDB, ETL, and infra. He is a skilled problem-solver who leverages his technical expertise to deliver innovative solutions that meet clients' needs. Overall, Sajid is a highly motivated and skilled Backend AI Engineer with a passion for leveraging AI to solve complex problems. He is an excellent collaborator who enjoys working with talented teams to deliver high-quality solutions.