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Hi, I’m Aizat Karybekova, a software engineer focused on building AI-powered features and scalable backend systems. I enjoy turning complex data into practical, user-friendly solutions. I love collaborating with cross-functional teams, prototyping quickly, and continuously learning new ML tools to deliver impactful products.…

Aizat Karybekova

AI Engineer, Full Stack Developer, Back-End Developer, +6

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Hi, I’m Aizat Karybekova, a software engineer focused on building AI-powered features and scalable backend systems. I enjoy turning complex data into practical, user-friendly solutions. I love collaborating with cross-functional teams, prototyping quickly, and continuously learning new ML tools to deliver impactful products.…

Available to hire

Hi, I’m Aizat Karybekova, a software engineer focused on building AI-powered features and scalable backend systems. I enjoy turning complex data into practical, user-friendly solutions.

I love collaborating with cross-functional teams, prototyping quickly, and continuously learning new ML tools to deliver impactful products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Kirghiz, Kyrgyz

Fluent

English

Fluent

Russian

Fluent

Turkish

Advanced

Korean

Beginner

Work Experience

AI Software Engineer at DO U Inc.

June 1, 2024 - Present

Built and optimized data pipelines and integrated LLM-powered features into DO U products using FastAPI, LangChain, and LLM APIs. Designed and deployed backend services and APIs, improving scalability and reliability with Docker, PostgreSQL, and Celery. Collaborated on database modeling and integration, ensuring efficient data retrieval and supporting AI-driven workflows. Participated in agile development processes, including sprint planning, code reviews, optimizations, and cross-team collaboration. Developed LangGraph-based AI agents featuring FastAPI microservices, asynchronous streaming endpoints, and Streamlit chat interface.

AI Research Intern at DataUS Inc.

August 31, 2023 - October 16, 2025

Conducted research on evaluation benchmarks to assess the local Korean pre-trained language model sourced from HuggingFace. Trained and fine-tuned a Large Korean auto-regressive language model with prompt engineering techniques, improving output accuracy by 20% across NLP tasks such as Text Classification, Summarization, and Information Retrieval. Used a text-generation web UI to interface with the model and experimented with hyperparameters and their effect on output.

Research Intern at Artificial Intelligence Challenges Program (UNIST)

October 31, 2024 - October 16, 2025

Research topic: Developing a chatbot to assist individuals in making informed financial decisions. Designed a decision-support chatbot, integrating ML models (Mamba, XGBoost) for stock prediction and product recommendations. Built a crawling model to extract real-time financial data and corporate information from securities sites. Applied BER T-based NLP models to summarize and generate concise company insights.

Student Researcher at Brain to Society Industry-Friendly Research Project (UNIST)

December 31, 2022 - October 16, 2025

Interpretable machine learning models for Ulsan housing market analysis. Researched the construction of housing market analysis models using site and spatial characteristics from the Seoul dataset. Assessed how ML can improve the understanding of housing market changes and the effect of features on prediction. Implemented LightGBM, Gradient Boosting, XGBoost, OLS, Lasso/Ridge, and Bayesian regression algorithms.

AI Software Engineer at DO U Inc.

June 1, 2024 - November 3, 2025

Built and optimized data pipelines and integrated LLM-powered features into DO U products using FastAPI, LangChain, and LLM APIs. Designed and deployed backend services and APIs, improving scalability and reliability with Docker, PostgreSQL, and Celery. Collaborated on database modeling and data integration for efficient data retrieval and AI-driven workflows. Participated in agile processes including sprint planning, code reviews, and optimizations. Developed LangGraph-based AI agents with FastAPI microservices and an interactive Streamlit UI.

AI/ML Intern at Data US Inc.

August 31, 2023 - August 31, 2023

Conducted research on evaluating local Korean pre-trained language model sources; trained and fine-tuned a Large Korean auto-regressive language model with prompt engineering techniques; improved output accuracy by 20% across NLP tasks; built a text-generation web UI for model interface; experimented with hyperparameters.

Research Intern at UNIST AI Challenges Program

October 31, 2024 - October 31, 2024

Developed a chatbot to assist individuals in making informed financial decisions; designed and integrated ML models (Mamba, XGBoost) for stock prediction and product recommendations; built a crawling tool to extract real-time financial data and corporate information; applied BERTo-based NLP to summarize and extract insights.

Student Researcher at Brain to Society Industry-Friendly Research Project (UNIST)

December 31, 2022 - December 31, 2022

Explored interpretable machine learning models for Ulsan housing market analysis; built housing market models using site-specific and spatial features; assessed how ML can improve understanding of housing market changes and feature effects on predictions; implemented LightGBM, Gradient Boosting, XGBoost, OLS, Lasso/Ridge, and Bayesian regression algorithms.

Machine Learning Intern at Data Us Inc.

June 1, 2023 - August 1, 2023

Conducted research on evaluation benchmarks for local Korean pre-trained language model. Trained and fine-tuned a large Korean autoregressive language model with prompt engineering techniques, improving output accuracy by ~20% across NLP tasks (Text Classification, Summarization, Information Retrieval). Built a text-generation web UI and experimented with hyperparameters to optimize performance.

Research Intern at Artificial Intelligence Challengers Program (UNIST)

March 1, 2024 - October 1, 2024

Developed a chatbot project to help individuals make informed financial decisions. Designed a decision-support chatbot, integrating ML models (e.g., XGBoost) for stock prediction and product recommendation. Built a crawling model to fetch real-time financial data and corporate information. Applied BERT-based NLP models to summarize and generate concise company insights.

Software Engineering Fellow at Outtalent

June 1, 2024 - Present

Fellowship program focusing on ramping up software engineers in distributed backends and algorithms, and improving soft skills. Program is taught by engineers from Amazon, Apple, Facebook, Google, Microsoft, Stripe, and Uber.