Alisheri Anvar

Experience

• 

  Korea Advanced Institute of Science and Technology

  Jun 2019 - Aug 2019

  Research Internship

  • Implemented a machine learning algorithm for classifying braille blocks in images• Collected and preprocessed 5,500 images using the Google Street View API to train the algorithm• Utilized Convolutional Neural Networks to achieve a test accuracy of 93.02%

• 

  The Hong Kong University of Science and Technology

  Sept 2019 - Feb 2020

  Artificial Intelligence Engineer

  • Enhanced Survey-Reader performance by 50% through the utilization of Gyroscope data• Developed a prediction algorithm for identifying reachable Wi-Fi signals in specific locations• Automated the survey processing workflow by creating a program that retrieves data from the server and seamlessly transfers it to the survey reader

• 

  BLUEDOT, inc.

  Mar 2021 - Sept 2022

  Deep Learning Developer

  • Implemented and optimized the VMAF Algorithm for an FPGA hardware system using C++.• This resulted in a 10-fold increase in speed compared to the implementation on 8 vCPUs of the Intel Xeon platform.• Enhanced the quality of the Super-Resolution model utilized in kokoon.cloud, focusing on improving texture and reducing codec artifacts.

• 

  Beam Mobility

  Sept 2022 - now

  Software Engineer

  • Created essential tools for web and mobile apps by designing and implementing features across various services. Utilized TypeScript, Kotlin, Go, and Python to ensure smooth user experiences.• Built a crucial microservice from the ground up using Kotlin, serving as a cornerstone for web and mobile applications.• Contributed significantly to data collection and analysis using Python on Google Cloud Storage, actively tracking vehicle data, trips, and revenue across cities.