Shariful Islam Email & Phone Number

Surrey, BC, CA

Burnaby, British Columbia, Canada

Burnaby, British Columbia, Canada

Maple Ridge, BC

• Trained and deployed an image classification model to display the best image on listings pages using transfer learning which improved the click through rate
• Developed a process to discover new business opportunities from ‘search query text’ using topic modeling (LDA) technique
• Developed a machine learning pipeline for predicting booking cancellation and revenue
• Deployed a machine learning pipeline for predicting property score based on historical data
• Worked on the full machine learning lifecycle including cleaning, preprocessing, feature engineering, model training and deployment
• Set up Amazon EC2 for developing machine learning models and deployed using Docker

Burnaby, BC

• Courses:
• Introduction to Computer Systems
• Data Communications/Networking

Vancouver, Canada Area

• Worked in a fast paced Agile development environment
• Developed a machine learning pipeline for human activity recognition from sensor data (smartphone sensors and wrist-worn accelerometers) using Keras and Tensorflow
• Re-implemented existing algorithm in PySpark for faster (3x) sensor data processing
• Worked on a team for developing a data collection, processing, storage, analytics and visualization pipeline using MySQL, MongoDB, InfluxDB, Node.js, D3.js, Chart.js

Vancouver, Canada Area

• Developed Python script for a Raspberry Pi controlled parking automation system
• Developed an android app that can control a Raspberry Pi using Bluetooth API

Dhaka, Bangladesh

• Courses Instructed:
• Introduction to C/C++ programming language
• Assembly language and µ-processor design
• Signals and systems
• Electrical circuits II (AC circuits)

Vancouver, Canada Area

• Responsibilities:
• Network design and optimization for emerging heterogeneous network
• Algorithm design and implementation for smart homes with heterogeneous network
• Applying Convex optimization and Game theoretical concepts for network optimization

Kelowna, BC

• Accomplishments:
• Proposed a novel algorithm based on IMU (inertial measurement unit) data and positioning information from a novel angle of arrival (AOA) sensor.
• Used and modified Extended Kalman filtereing (EKF) for data integration for the proposed algorithm. The modified algorithm provided 60% improvement in the best case and at least 7% improvement in the worst case scenario.
• Implemented the proposed algorithm MATLAB and C.

Vancouver, Canada Area

• Responsibilities:(http://ppfhinitiative.com/Students.html)
• In lieu with the common goal and vision of the ICICS and TELUS People and Planet Friendly Home project, design and optimize network protocols for emerging smart homes.
• Design efficient resource allocation and scheduling technique for HetNets.

Master'S Degree, Computing Science (Big Data Program)

Courses: ● Machine Learning ● Data Mining ● Programming for Big Data ● Algorithms for Big Data ● Systems for Big Data ● Deep Neural Networks

Master Of Applied Science (Masc), Electrical, Electronics And Communications Engineering, 90%

Thesis: Indoor Positioning through Integration of Optical Angles of Arrival with an Inertial Measurement Unit

Bachelor Of Science (Bs), Electrical And Electronics Engineering