Project: Cryptocurrency (VCOIN) based projects

Build the world’s largest friendship discovery and social metaverse platform.

Responsibilities

● Participating in technical planning & requirements gathering phases including design, code, test,

troubleshoot, and document engineering software applications

● Ensuring that technical software development process is followed on the project, familiar with

industry best practices for software development

● Demonstrating the ability to adapt and work with team members of various experience levels

● Troubleshooting and resolving issues affecting production, such as performance bottlenecks, buggy

software, and error-prone processes

● Periodic on-call duty to ensure the availability of the services stack

● Handle all money and VCOIN related based transactions

Environment: Linux, Windows, Git, Vagrant, PHP, Javascript, CSS, RESTful API, VIM, Sublime Text, PhpStorm

Project: AI/ML based projects

Research and development of various AL/ML based projects for image search

(including Image SuperResolution by Neural Texture Transfer), categorization,

object detection, etc.

Responsibilities

● Participate in application design process

● Design cluster type computation systems for running neural networks

● Design and implement algorithms for accelerating neural network

computation over compute

clusters

● Design neural networks for image processing applications like segmentation,

denoising, resizing, etc.

● Architecture and algorithm research for production and online delivery of

creative content

● Train software engineers on findings and best practices related to distributed

computing

● Work with product and content creation teams to identify bottle-necks in

creating high volume

content

● Port existing implementations of algorithms into modern frameworks that

work with parallel

processing

● Implement new algorithms in computer vision related to application in retail

product visualizations

● Participate in weekly meetings with VP to discuss the progress of the

development

● Research in AI/ML algorithms and find different ways how to optimize the

training process

● Distribute Training across Multiple Nodes (with multiple attached GPUs)

● Technically help other team members

Environment: Linux, Git, C/C++, CUDA, Matlab, Python, Tensorflow, Keras,

Pytorch, Torch, Computer Vision,Distributed Systems, AI/ML, Parallel

Processing, Image Enhancement, Sensor Fusion, 3D Geometry, GNU Make,

GCC/GDB, Vim/Emacs, Pdb/Pydb, cProfile/Profile, Gprof/Valgrind/Callgrind/

Gperftools