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Schedule Interview NowMy name is Sergei A. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: FastAPI, Python, AI Development, Generative AI, Artificial Intelligence, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I've worked on include: FastAPI Backend for Internal SaaS Tool, Support Ticket Processing System, Francoplus Novice Path: sleek app built with the Lovable framework, Custom Chat AI Assistant using Ollama and LangChain, browser-based survival strategy game built using AI, etc.. I am based in Antalya, Turkey. I've successfully completed 9 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
10 years
8 Years
3 Years
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Potentially possible
LightSoft
Designed and implemented a modular FastAPI backend with JWT auth, role-based access, and asynchronous business logic. Integrated external billing API and deployed using Docker. Highlights: Clean lay
This project is designed to automate the processing of support tickets using AI models to categorize, prioritize, and generate initial responses. It integrates with OpenAI and Anthropic AI services to
Francoplus Novice Path: is a sleek app built with the Lovable framework, made for French language learners who love serious vocab grinding. It turns raw word lists into smart, context-rich sessions wi
A simple chat application using Streamlit and LangChain with Ollama LLM (Llama 3) backend. Features Conversational AI assistant powered by Llama 3 via Ollama Maintains chat history and contex
I built it in one evening, just for fun, aiming to create a working prototype as fast as possible. Plague and Plenty is a browser-based survival strategy game built using HTML, CSS, JavaScript, and C
Bachelor of Applied Science (BASc) in Applied mathematics and informatics
2002-01-01-2008-12-01