- This service predominantly specializes in livestock tracking through satellite technology, offering preciseanimal monitoring capabilities across diverse global environmental conditions.

- A platform that shows in which locations in the city harassment occurs more often / less often.

I am currently pursuing an AI Integrator specialization at NIMBL Academy (Astana Hub), which is designedto provide in-depth knowledge and hands-on experience in the field of AI integration. Throughout thecourse, I have gained a strong foundation in AI technologies such as natural language processing, computervision, machine learning algorithms, and deep learning frameworks. My expected completion date for thiscourse is December 2023, and I am excited to continue expanding my skills in AI integration to contribute tofuture projects and opportunities. So far, I've completed several projects, including: - Utilized Python libraries like Pandas, NumPy, and Matplotlib / Seaborn to clean, manipulate, visualizedata and performed basic data preparation and EDA. - Developed an ML model that predicts whether a person has diabetes or not. - Deployed the model both as Streamlit app and API using FastAPI. - Trained an image classification model using TensorFlow and Keras both from scratch and using pre-trained models. - Deployed the TensorFlow Lite image classification model as an API on AWS Lambda. - Developed simple chat app using langchain and OpenAI’s GPT.

T&T Security was created with the mission to combat next-generation cyber threats that traditional antivirustechnologies fail to prevent. Responsibilities: - Software Design and Development. - System Monitoring and Maintenance as Support Engineer. Achievements: - Designed and Implemented Backend Core of an advanced Anti-APT solution (tLab). - Built a reliable Mail Security Solution (10M+ messages processed to date). - Successfully implemented tLab Integration with products from Check Point and Trend Micro. - Successfully implemented tLab Integration with various SIEM systems.

Since 2015 a project "Medical System SOS" turned from startup into a growing business. This remarkablejourney stands as a testament to my leadership as a Tech Lead, demonstrating the evolution of my expertisein Python and Django. - Successfully managed multiple framework migrations, taking the project from its initial version (1.8.1) tothe latest version (4.2) over the years. - Implemented efficient Celery tasks with multiple workers and queues. - Significantly improved application performance by optimizing DB queries and introducing caching. - Successfully implemented reporting (PDF, Excel and HTML reports), adding valuable functionality to theproject. - Transitioned from manual deployments to seamless CI/CD pipelines, ensuring a more reliable andautomated release process. - Successfully migrated from plain app to containerized app using Docker - Significantly reduced error rate by implementing error and log monitoring. - Currently, working on transitioning to ASGI, which will further optimize the application for highconcurrency and real-time functionality. - Currently, working on the migration of the project to a Cloud-based infrastructure.