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 Oleksandr T. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Python, Computer Vision, Natural Language Processing, etc.. I hold a degree in Master's degree, Bachelor of Technology (BTech). Some of the notable projects I've worked on include: Computer Vision Label Detection for Video Streams, Demand prediction, Chatbot for Medical Conversations Using LLM, Sentiment analysis of stock market news with LLM, Telegram LLM chatbot development. I am based in Kyiv, Ukraine. I've successfully completed 5 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
7 years
3 Years
6 Years
1 Year
Potentially possible
Nexustech-AI
Developed and deployed a robust pipeline for detecting labels in real-time video streams using an ensemble of state-of-the-art machine learning models. The system integrated YOLO for object detection,
The customer's goal was to predict the demand for specific goods for the next quarter to reduce warehouse overstock. We developed a system that more accurately forecasts the number of goods needed for
The client needed a system to summarize conversations between doctors and patients and store critical information in a database. We developed a Retrieval-Augmented Generation (RAG) system utilizing GP
In this project the sentiment of the stock market news was calculated and it helped in forecasting the future price of the stock. Scores were used as features for the time series from sentiment analys
I developed a Telegram chatbot using the Telegram Bot API, OpenAI API, integrating it with ChatGPT to facilitate natural conversations. Key features include: Natural Language Understanding: The chat
Master's degree in Information microelectronic systems
2016-01-01-2018-01-01
Bachelor of Technology (BTech) in Micro- and Nanoelectronics
2012-01-01-2016-01-01