We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Denys S. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Data Science, Natural Language Processing, Neural Network, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I've worked on include: NLP-Powered Chatbot for Customer Support, Natural Language => Task Automation Assistant, LSTM-Based TimeSeries Forecasting, AI-Powered Sentiment Analysis App. I am based in Baibuzy, Ukraine. I've successfully completed 4 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
Main technologies
0 years
1 Year
1 Year
1 Year
Potentially possible
Arina Software
Understand user queries, respond with relevant information, and handle multiple types of intents such as FAQs, booking requests, and general inquiries.
Lightweight LLM-powered assistant that converts natural language instructions into executable actions (e.g., creating code snippets, generating SQL queries, or drafting emails). The system demonstrate
Time Series Forecasting App using Long Short-Term Memory (LSTM) neural networks to predict stock price movements and visualize future trends.
Sentiment analysis application using Natural Language Processing (NLP) to analyze customer feedback and classify it as Positive, Negative, or Neutral.
Bachelor's degree in Computer science
2021-01-01-2025-01-01