Position: Researcher and Developer with AI, NPL, ML background / Software Engineer
Category: Data Science
English level: fluent
Years of experience: 11

Successfully worked on many projects in AI and ML. Provided courses.
Artificial Intelligence and Software Engineering Consultant

Research Interests:
Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Image Processing, Signal Processing.

Skills & Competencies:

AI-Based Solutions Development: Proficient in designing and implementing AI-based solutions, encapsulated in production-grade web services and standalone applications.

Machine Learning: Extensive knowledge and practical application of Machine Learning algorithms for various tasks, particularly those related to NLP, Image Processing, and Signal Processing. Experienced in both classical algorithms and advanced neural network technologies.

Natural Language Processing: Comprehensive understanding of NLP, including its linguistic foundations, machine learning principles, various heuristic approaches, and AI agent applications.

Language Learning Models: Demonstrated proficiency with various Language Learning Models, including GPT-3.4, GPT-4, and LLaMa, among others.

Data Management: Skilled in handling unstructured data, encompassing web crawling, preprocessing, parsing, and information extraction techniques.

Signal Processing: Deep expertise in signal processing using both classic methods and neural networks, showcasing an integrated approach to data analysis and interpretation.

Through my experience and extensive knowledge, I am committed to bringing innovative solutions and insights to the ever-evolving landscape of AI and software engineering.
Research and development in AI/ML primarily in Natural Language Processing field. Advanced skills in signal processing, including predictive models. Projects related to computer vision or image processing, signal processing are also good for me.
Python based back-end and web services.

I don't do front-end and JavaScript.