Abdul Wahab

Predicted quality of an article by extracting its textual and structural features [NLP]. Picked best performing features and applied machine and deep learning algorithms. The prediction model based on DNN performed better than the current state-of-art. Transferred data dumps [XML] to HDFS and transformed using MapReduce [ETL]

Developed an Android app for martial arts institutes. Auto build generation for QA and publishing using CI/CD. Auto check-ins and check-outs using geofencing, push notification and real-time messaging using FIREBASE, crashlytics and proguard. Development of RESTFul APIs on .NET Core/Entity Framework. Connected payment gateway[BrainTree], Firebase [to send push notification], email SDK [sendgrid], and integrated crash reporting [Sentry.io]. The endpoints were being secured using JWT.

- Developed data lake on Apache Hadoop (HDFS), automated - Data ingestion (Sqoop) workflow on Airflow, and processed the data using Amazon EMR - Data Visualization using Looker and Tableau - Developed a Distributed App for Amazon using IBM blockchain solution and containerization (Docker). Used Kafka to enqueue requests to blockchain node. - Developed an efficient search strategy using Natural Language Processing on nlkt.

Thesis: Measuring user trust according to the quality of their contributions, the case of Wikipedia - [Data Engineering, NLP & Machine Learning] Key Courses: Formal Modelling, Software Verification, Security Protocols and Machine Learning

Thesis: Development of a smart parking solution based on IoT and blockchain [HyperLedger, Android, NodeJS] Key Courses: Spatial Databases, Practical Cryptography, Usability Design and Web Development

Thesis: Optimizing electric consumption using wireless sensor network Key Courses: Image Processing, Pattern Recognition, Business Intelligence, and Mobile App