Arkaan Quanunga
Visual Quality Software Engineer @V-Nova Ltd
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WORK HISTORY
Visual Quality Software Engineer @V-Nova Ltd
London, GB
Working closely with the Commercial team to truly show to customers the capability of LCEVC technology and improve the ecosystem adoption of our product. Responsibilities includes: • Automating process to produce VQ data in a presentable manner. • Implementing solutions of our product in the Video Quality Framework (VQF) Achievements: • Developed a AWS search end-point for listing all the instance details to allow users to launch their chosen AWS instance via the UI. • Implemented AWS node initialisation for running PArallel PErformance Runner (PAPER) and integrated it with the UI. • Automatically launching EC2 instances at scale and dynamically creating templates based on user selection. • Implemented parallel CPU runs to test Video Quality of different videos with vmaf, PSNR, SSIM, MS-SSIM • Linked MySQL database to store & retrieve the results. • Refactoring and Development of new Features on Video Quality Framework (VQF) • Improving performance of existing VQF by implementing Multi-processing and Identifying bottlenecks. • Enforcing User level Logs to inform the User for reasons of failure after completion of session on VQF. • Configuring New Machines/ Servers by using Ansible. • Managing Database versioning by using Alembic. • Building docker images using DockerFile & concourse pipeline. • Design & Develop intuitive and responsive interfaces for data analysis and visualization • Planning and Executing Database Migration to implement AI Features into VQF. Currently working on Developing Machine Learning Model to predict optimal encoding parameters based on content (video) selection.
EDUCATION
Udacity
Nano Degree Program, Machine Learning DevOps Engineer
Coventry University
Bachelor's degree, Mechanical Engineering
Zero To Mastery Academy
Data Structures and Algorithms, Computer Science
Lodge Park Academy
High School
Moulsham High School
A Levels, GCSE
ABOUT ARKAAN QUANUNGA
I\'m a Mechanical Engineer turned Automation Test with passion for building machine learning models and exploring countless ways it can be implimented in the real world. My latest project of Dyanamic Risk Assessment System aims to monitor machine learning models in production for all stakeholders and automatically trains and deploys new model as new data arrives. Right now, I\'m working on programming an Operating system for maximum optimisation of resources in AR. I am a keen learner and love to improve my skills. System on Chip (SoC) design and development is my current goal, a way to enhance my understanding of electrical & computer based architecture knowledge and provide business level solutions. Skills: Python, Java, TensorFlow, MLOPs, Hydra, Jenkins, Maven, Cucumber, Selenium, Conda, Linux, AWS
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