Ishmam Ahmed Solaiman

advwg1@r.postjobfree.com • +1-945-***-**** • Little Rock, AR (Willing to relocate) Education

The University of Arkansas at Little Rock 2022 Aug - Present M.Sc. in Computer Science / CGPA 3.66

Advanced Software Engineering, Operating Systems, Social Computing, Analysis of Algorithms, Telecommunications & Networking, and Artificial intelligence. Brac University (Bangladesh) 2016 Sep - 2021 Jan

B.Sc in Computer Science / CGPA 3.44

Data Structures, Algorithms, Software Engineering, Computer architecture, System Analysis and design, Web Development, Android development, Artificial Intelligence, Neural Networks, and Natural Language Processing.

Published research work: Solaiman, I (2022). X-Ray Classification to Detect COVID-19 using Ensemble Model. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2 Professional Skills

JavaScript, TypeScript, Java, Python, HTML, CSS, JQuery, React, NodeJS, TensorFlow, MySQL, MongoDB, Mongoose, Firebase, ElasticSearch, Jenkins, Kibana, Sentry, Agile Methodologies, Scrum, Git. Experience

Software Engineer I - Optimizely, New York, NY (Remote) 2021 Jan - 2022 July

● Reduced average weekly bugs by 50% through proactive bug fixing, maintenance, and updating legacy code. (React, TypeScript, JavaScript, NodeJs)

● Spearheaded the development of a Smart Content feature using GPT-3, resulting in an average of 600 daily active users over a 6-month period improving user engagement and retention. (APIs, Caching).

● Improved performance of marketing workflow by 40% by implementing caching via Redis, reducing data payloads, and improving page load times. (Redis, Python).

● Boosted code coverage to 90% on both the backend and client side. This involved developing comprehensive testing ensuring software reliability and improving code quality. (Sinon, Mocha, RTL).

● Converted legacy JavaScript code to TypeScript, enforcing type safety and improving code maintainability.

Research Assistant - COSMOS, Little Rock, AR 2022 Sep - Present Collaboratorium for Social Media and Online Behavioral Studies

● Social media analysis project detecting suspicious and anomalous behavior, leading to the takedown of 15+ suspicious channels on Youtube - funded by US Air Force. (Python, Data Visualization, ML)

● Built a Youtube content discovery bot to crawl and analyze youtube videos based on anomalous video engagement metrics. (Python, NLP, Topic Modelling, Transformers, Neural Networks) Projects

COVID-19 and Pneumonia Classification

Classify X-ray images to detect diseases achieving 96% detection accuracy. (TensorFlow, Keras, Python, Image Augmentation, CNN, Imagenet, XCeption Model, VGG-19, Transfer Learning) Code: Click me! Disinfectors Inc website

Built landing page and ordering interface for Disinfectors inc with NodeJS, HTML, CSS, JS & Firebase. Streamlined local development process and deployment using Git, GCP, and Firebase. Code: Click me! Feedme!

Food ordering android application developed in Java and implementing firebase database. Learned fundamentals of android programming and the basis of building e-commerce applications. Database implemented using Firebase. Code: Click me!