Software Engineer with 10+ years of hands-on experience in delivering Large Scale solutions. Fluent in Java and Python.
He has worked in the telecommunications industry for a decade as a software engineer. He has developed numerous solutions and services that serve millions of users daily.
After gaining a master's degree in Machine Learning, in 2022 he has shifted his focus to Deep Learning, Reinforcement Learning, and Large Language Models.
Strong foundation in Software Design, Object Oriented Programming, Functional Programming, Data Structures, and Algorithms. Focused on producing efficient code that is easy to understand, verify, and modify. Adherence to clean coding principles that enhance quality and readability.
Keywords: Java, Python, Parallel, Asynchronous and Distributed Computing, Clean Coding, Open Source Software, Spring Boot, Deep RL, PyTorch, Large Language Models, Chatbots
Please check out my blog and GitHub page to see more about my past works.
Fine-tuning language models, development of chatbots.
Design and development of Charging System and 5G Core components. Development of large scale, performance sensitive, and highly available systems was a key role.
Development of various Java and Spring based applications.
Development and Integration of Operational Support System (OSS) applications for Telecommunications industry.
In addition to main computer science and engineering courses, studied parallel computing.
Studied machine learning. Thesis on Emotion Recognition using Deep Convolutional Neural Networks.
Parallel and Distributed Computing, Relational&NoSQL Database Applications, JDBC&JPA&Hibernate applications, Spring Boot, Akka Framework, Business Process Management, Web Applications
Training Convolutional Neural Networks, Training&Fine-Tuning Language Models, Training RL Models, Blockchain Based Applications
The Tezos Foundation stands as part of the community in support of the Tezos protocol and ecosystem. The foundation funds selected projects. Tezos Reward Distributor was given a grant to support development.
Emotion recognition on static images using deep transfer learning and ensembling
OPTIMIZATION OF INTERACTIVE VOICE RESPONSE SYSTEMS CAMPAIGNS. Patent application was made in the name of Alcatel-Lucent.
Patent Application FileCertification ID 264779091