Rayyan Ul Haq

Rayyan Ul Haq has a diverse work experience spanning various roles and industries. In 2016, they worked as a Summer Intern at Darul Sehat Hospital. In 2019, they joined Habib University as a Teaching Assistant, where they provided support in academic settings. Rayyan also worked as a Teaching Assistant at Habib University from 2019 to 2021.

In 2021, Rayyan transitioned into the software engineering field, starting as an Associate Software Engineer at Airlift Technologies. Rayyan was involved in internationalization efforts and integrated Redis replicas to enhance system reliability. Rayyan also played a key role in setting up Campaign and Pricing microservices. In 2022, they moved to Rewaa as a Software Engineer, where they contributed to architectural decisions, introduced new features to the platform, and led the development of the first microservice.

Throughout their career, Rayyan has demonstrated technical expertise by working with technologies such as NestJS and Serverless Framework. Rayyan has also shown a strong aptitude for leadership, as evidenced by their involvement in the adoption of mono repo and creating ways for code sharing between services. Overall, Rayyan Ul Haq has a well-rounded background in both academic and technical roles.

Rayyan Ul Haq completed their education in a chronological manner. Rayyan started their education at Bai Virbaiji Soparivala Parsi School in 2013, where they completed their GCE O-Level in Pre-Engineering in 2015. Rayyan then moved on to Beaconhouse, where they pursued GCE A-Level in Pre-Engineering from 2015 to 2017. Following that, they enrolled in Habib University in 2017 and graduated in 2021 with a Bachelor's degree in Computer Science.

In addition to their formal education, Rayyan Ul Haq obtained several certifications. In May 2019, they completed "Analyzing Social Media Data in Python" and "Foundations of Inference in R" from DataCamp. In April 2019, they obtained certifications in "Case Studies: Manipulating Time Series Data in R," "Case Study: School Budgeting with Machine Learning in Python," "Cluster Analysis in R," "Credit Risk Modeling in R," "Introduction to Natural Language Processing in Python," "Time Series Analysis in R," "Tree-Based Models in R," and "Unsupervised Learning in R." In March 2019, they obtained certifications in "Correlation and Regression in R," "Exploratory Data Analysis in R," "Introduction to Data in R," "Introduction to Machine Learning," "Introduction to SQL," "Machine Learning with caret in R," "Preprocessing for Machine Learning in Python," "Supervised Learning in R: Case Studies," and "Supervised Learning in R: Classification." Finally, in February 2019, they completed the certification course "Analyzing Police Activity with pandas" from DataCamp.