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Schedule Interview NowMy name is Stanislav K. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: SQL Programming, SQLite Programming, SciPy, Apache Cassandra, C#, etc.. I hold a degree in Master's degree, Bachelor's degree. Some of the notable projects I've worked on include: LLM based chat bot for events ticket service, Querying Graph database by translating user requests from English, LLM fine-tune, Engine for chatGPT based sales chatbot, Automatic speech recognition for call center, etc.. I am based in Beersheba, Israel. I've successfully completed 12 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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aeMindIdentity
The client request was to make a chat bot on privately hosted open-source LLM model. 1. The Llama 3.1 70b model was chosen as a main model 2. Advanced prompting allowed buyers to choose flexibly even
The goal of the project was to allow a user to retrieve analytics from graph database using queries in natural language. The synthetic dataset was generated with Mixtral 8x7B model and used to fine-t
The goal was to extend LLM input length by adding knn-memory and to fine-tune the model I reproduced Memorizing Transformers work on model selected by the customer and applied QLoRA technique for fin
Chatbot engine was implemented with a configuration system and proxies for different communication channels. Langchain was used to integrate chatGPT into the engine. A selling email bot for an HR comp
Voice recognition system (speech-to-text) improvement for the call center operator support system. First of all, a metric based approach was set up in the company. Metrics for the current speech-to-
Master's degree in Computer science
2009-01-01-2011-01-01
Bachelor's degree in Computer science
2005-01-01-2009-01-01