- Did applied ML/AI research in digital manufacturing with a heavy focus on optimization and software engineering.- Developed a Bayesian optimization-based methodology and software that improved the energy consumption of industrial robots by 33% (https://ieeexplore.ieee.org/document/10114975).- Developed a deep reinforcement learning-based methodology and OpenAI Gym RL environment for manufacturing investment decision-making (https://github.com/torayeff/mfgrl).- Developed a Python library for managing industrial robots used by more than 10+ research and commercial organizations in the USA, UK, Canada, EU, Switzerland, and India (https://github.com/torayeff/fanucpy)

Developed RL environment and software for digital manufacturing for machining process planning.

I researched simulation-to-real transfer in deep reinforcement learning for 7 degrees of freedom robots with dual arms.

- Developed a Deep Convolutional Autoencoder and Random Forest-based data annotation methodology to increase the F1 score of diffusion MRI classifications by 50% and reduce expert annotations twice (https://diglib.eg.org/handle/10.2312/vcbm20201165).- Wrote a publication which won a Best Paper Honorable Mention award in Workshop on Visual Computing for Biology and Medicine 2020.

- Enhanced the efficiency of an internal text mining tool by reducing text classification inference time through optimized code restructuring and removing redundant condition checks. - Improved the internal antonym-synonym discrimination algorithm by experimenting with word embedding methods.

- Lectured "Web Development Fundamentals" and "Algorithms and Data Structures" courses for 100 students, resulting in a 2x increase in Computer Science engagement.- Supervised three undergraduate students for the National IT project competition, where one of the students won the 1st prize.- Did research in Computer vision for face detection using Viola-Jones object detection framework.- Mentored undergraduate students for computer science career future.

- This was a small web studio I started with my friend. Later, I recruited three more developers to develop web and mobile applications in Turkmenistan.- Among our clients were big e-commerce platforms in Turkmenistan, celebrities, and small and medium-sized companies in Turkmenistan.- One of our most renowned projects were end-to-end e-commerce solutions and mobile applications.

Improved data acquisition speed by 75% by implementing a multi-threaded "robots.txt"-friendly web crawler in Python for customer targeting from e-commerce platforms such as eBay, Amazon, and Rakuten.