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I'm a developer who specializes in building robust backend systems, AI-driven architectures, and scalable cloud infrastructure. From my base in Astana, Kazakhstan, I have spent over 5 years engineering high-performance solutions across distributed systems and AI applications. What differentiates me is my ability to manage the entire lifecycle of an AI application—from designing DAG-based workflow engines to optimizing the underlying Kubernetes infrastructure. My background is unique; having transitioned from medical and biological sciences to Information Systems, I bring a highly analytical, research-oriented approach to problem-solving that most traditional developers lack. I don't just write code; I build custom Go packages to reduce architectural complexity and implement edge-computing strategies that slash server load by up to 60%. Whether it's EdTech or high-scale browser-based cloud services, I focus on performance, reliability, and creating systems that appear seamless to the end user. Employment and project experience Software Engineer at Nodemaven (Cloud browser & proxy service) September 2024 – April 2026 - Designed and implemented an AI-driven workflow engine using dynamic DAG-based pipelines to model complex user logic. - Developed a custom Kubernetes operator to manage browser resource usage across VMs, optimizing CPU and RAM for auto-scaling groups. - Reduced EC2 instance load times for browser workloads from 2-4 minutes to just 15 seconds. - Implemented LLM model rotation to reduce downtime by approximately 15% and ensure consistent service availability. - Reduced task execution downtime by 73% during high user load by modularizing processes and allocating separate resources per task. Backend Engineer at Beyim AI (AI-driven EdTech platform) March 2023 – September 2024 - Implemented a high-performance data layer enabling user-specific variations of a global topological order for a content feed. - Developed custom Go packages to automate context injection and simplify asynchronous operations, reducing production errors by 10%. - Optimized platform performance, reducing front-end load times from 500ms to 120ms through advanced caching and invalidation. - Developed a secure ETL Lambda function to streamline data updates for analysts and implemented full-text search via change data capture. Fullstack Engineer at DIMEDUS (VARDIX GROUP) (EdTech) January 2021 – March 2023 - Optimized application performance by 50-70% through improved server and caching strategies. - Implemented edge-side processing to offload gigabyte-scale data handling to the front end, reducing server RAM usage by 60%. - Developed a multi-language translation service with customizable configurations and caching to reduce company costs. - Enhanced the front-end with progressive web app (PWA) capabilities, including offline support and improved media handling.…I'm a developer who specializes in building robust backend systems, AI-driven architectures, and scalable cloud infrastructure. From my base in Astana, Kazakhstan, I have spent over 5 years engineering high-performance solutions across distributed systems and AI applications. What differentiates me is my ability to manage the entire lifecycle of an AI application—from designing DAG-based workflow engines to optimizing the underlying Kubernetes infrastructure. My background is unique; having transitioned from medical and biological sciences to Information Systems, I bring a highly analytical, research-oriented approach to problem-solving that most traditional developers lack. I don't just write code; I build custom Go packages to reduce architectural complexity and implement edge-computing strategies that slash server load by up to 60%. Whether it's EdTech or high-scale browser-based cloud services, I focus on performance, reliability, and creating systems that appear seamless to the end user. Employment and project experience Software Engineer at Nodemaven (Cloud browser & proxy service) September 2024 – April 2026 - Designed and implemented an AI-driven workflow engine using dynamic DAG-based pipelines to model complex user logic. - Developed a custom Kubernetes operator to manage browser resource usage across VMs, optimizing CPU and RAM for auto-scaling groups. - Reduced EC2 instance load times for browser workloads from 2-4 minutes to just 15 seconds. - Implemented LLM model rotation to reduce downtime by approximately 15% and ensure consistent service availability. - Reduced task execution downtime by 73% during high user load by modularizing processes and allocating separate resources per task. Backend Engineer at Beyim AI (AI-driven EdTech platform) March 2023 – September 2024 - Implemented a high-performance data layer enabling user-specific variations of a global topological order for a content feed. - Developed custom Go packages to automate context injection and simplify asynchronous operations, reducing production errors by 10%. - Optimized platform performance, reducing front-end load times from 500ms to 120ms through advanced caching and invalidation. - Developed a secure ETL Lambda function to streamline data updates for analysts and implemented full-text search via change data capture. Fullstack Engineer at DIMEDUS (VARDIX GROUP) (EdTech) January 2021 – March 2023 - Optimized application performance by 50-70% through improved server and caching strategies. - Implemented edge-side processing to offload gigabyte-scale data handling to the front end, reducing server RAM usage by 60%. - Developed a multi-language translation service with customizable configurations and caching to reduce company costs. - Enhanced the front-end with progressive web app (PWA) capabilities, including offline support and improved media handling.

Aibat Zhakeyev

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I'm a developer who specializes in building robust backend systems, AI-driven architectures, and scalable cloud infrastructure. From my base in Astana, Kazakhstan, I have spent over 5 years engineering high-performance solutions across distributed systems and AI applications. What differentiates me is my ability to manage the entire lifecycle of an AI application—from designing DAG-based workflow engines to optimizing the underlying Kubernetes infrastructure. My background is unique; having transitioned from medical and biological sciences to Information Systems, I bring a highly analytical, research-oriented approach to problem-solving that most traditional developers lack. I don't just write code; I build custom Go packages to reduce architectural complexity and implement edge-computing strategies that slash server load by up to 60%. Whether it's EdTech or high-scale browser-based cloud services, I focus on performance, reliability, and creating systems that appear seamless to the end user. Employment and project experience Software Engineer at Nodemaven (Cloud browser & proxy service) September 2024 – April 2026 - Designed and implemented an AI-driven workflow engine using dynamic DAG-based pipelines to model complex user logic. - Developed a custom Kubernetes operator to manage browser resource usage across VMs, optimizing CPU and RAM for auto-scaling groups. - Reduced EC2 instance load times for browser workloads from 2-4 minutes to just 15 seconds. - Implemented LLM model rotation to reduce downtime by approximately 15% and ensure consistent service availability. - Reduced task execution downtime by 73% during high user load by modularizing processes and allocating separate resources per task. Backend Engineer at Beyim AI (AI-driven EdTech platform) March 2023 – September 2024 - Implemented a high-performance data layer enabling user-specific variations of a global topological order for a content feed. - Developed custom Go packages to automate context injection and simplify asynchronous operations, reducing production errors by 10%. - Optimized platform performance, reducing front-end load times from 500ms to 120ms through advanced caching and invalidation. - Developed a secure ETL Lambda function to streamline data updates for analysts and implemented full-text search via change data capture. Fullstack Engineer at DIMEDUS (VARDIX GROUP) (EdTech) January 2021 – March 2023 - Optimized application performance by 50-70% through improved server and caching strategies. - Implemented edge-side processing to offload gigabyte-scale data handling to the front end, reducing server RAM usage by 60%. - Developed a multi-language translation service with customizable configurations and caching to reduce company costs. - Enhanced the front-end with progressive web app (PWA) capabilities, including offline support and improved media handling.…I'm a developer who specializes in building robust backend systems, AI-driven architectures, and scalable cloud infrastructure. From my base in Astana, Kazakhstan, I have spent over 5 years engineering high-performance solutions across distributed systems and AI applications. What differentiates me is my ability to manage the entire lifecycle of an AI application—from designing DAG-based workflow engines to optimizing the underlying Kubernetes infrastructure. My background is unique; having transitioned from medical and biological sciences to Information Systems, I bring a highly analytical, research-oriented approach to problem-solving that most traditional developers lack. I don't just write code; I build custom Go packages to reduce architectural complexity and implement edge-computing strategies that slash server load by up to 60%. Whether it's EdTech or high-scale browser-based cloud services, I focus on performance, reliability, and creating systems that appear seamless to the end user. Employment and project experience Software Engineer at Nodemaven (Cloud browser & proxy service) September 2024 – April 2026 - Designed and implemented an AI-driven workflow engine using dynamic DAG-based pipelines to model complex user logic. - Developed a custom Kubernetes operator to manage browser resource usage across VMs, optimizing CPU and RAM for auto-scaling groups. - Reduced EC2 instance load times for browser workloads from 2-4 minutes to just 15 seconds. - Implemented LLM model rotation to reduce downtime by approximately 15% and ensure consistent service availability. - Reduced task execution downtime by 73% during high user load by modularizing processes and allocating separate resources per task. Backend Engineer at Beyim AI (AI-driven EdTech platform) March 2023 – September 2024 - Implemented a high-performance data layer enabling user-specific variations of a global topological order for a content feed. - Developed custom Go packages to automate context injection and simplify asynchronous operations, reducing production errors by 10%. - Optimized platform performance, reducing front-end load times from 500ms to 120ms through advanced caching and invalidation. - Developed a secure ETL Lambda function to streamline data updates for analysts and implemented full-text search via change data capture. Fullstack Engineer at DIMEDUS (VARDIX GROUP) (EdTech) January 2021 – March 2023 - Optimized application performance by 50-70% through improved server and caching strategies. - Implemented edge-side processing to offload gigabyte-scale data handling to the front end, reducing server RAM usage by 60%. - Developed a multi-language translation service with customizable configurations and caching to reduce company costs. - Enhanced the front-end with progressive web app (PWA) capabilities, including offline support and improved media handling.

Available to hire

I’m a developer who specializes in building robust backend systems, AI-driven architectures, and scalable cloud infrastructure. From my base in Astana, Kazakhstan, I have spent over 5 years engineering high-performance solutions across distributed systems and AI applications.

What differentiates me is my ability to manage the entire lifecycle of an AI application—from designing DAG-based workflow engines to optimizing the underlying Kubernetes infrastructure. My background is unique; having transitioned from medical and biological sciences to Information Systems, I bring a highly analytical, research-oriented approach to problem-solving that most traditional developers lack. I don’t just write code; I build custom Go packages to reduce architectural complexity and implement edge-computing strategies that slash server load by up to 60%. Whether it’s EdTech or high-scale browser-based cloud services, I focus on performance, reliability, and creating systems that appear seamless to the end user.

Employment and project experience

Software Engineer at Nodemaven (Cloud browser & proxy service)
September 2024 – April 2026

Designed and implemented an AI-driven workflow engine using dynamic DAG-based pipelines to model complex user logic.
Developed a custom Kubernetes operator to manage browser resource usage across VMs, optimizing CPU and RAM for auto-scaling groups.
Reduced EC2 instance load times for browser workloads from 2-4 minutes to just 15 seconds.
Implemented LLM model rotation to reduce downtime by approximately 15% and ensure consistent service availability.
Reduced task execution downtime by 73% during high user load by modularizing processes and allocating separate resources per task.

Backend Engineer at Beyim AI (AI-driven EdTech platform)
March 2023 – September 2024

Implemented a high-performance data layer enabling user-specific variations of a global topological order for a content feed.
Developed custom Go packages to automate context injection and simplify asynchronous operations, reducing production errors by 10%.
Optimized platform performance, reducing front-end load times from 500ms to 120ms through advanced caching and invalidation.
Developed a secure ETL Lambda function to streamline data updates for analysts and implemented full-text search via change data capture.

Fullstack Engineer at DIMEDUS (VARDIX GROUP) (EdTech)
January 2021 – March 2023

Optimized application performance by 50-70% through improved server and caching strategies.
Implemented edge-side processing to offload gigabyte-scale data handling to the front end, reducing server RAM usage by 60%.
Developed a multi-language translation service with customizable configurations and caching to reduce company costs.
Enhanced the front-end with progressive web app (PWA) capabilities, including offline support and improved media handling.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Cloud browser & Proxy service at Nodemaven

September 1, 2024 - April 3, 2026

Configured Kubernetes and GitHub workflows for browser operations with safety measures to securely run user-generated code. Developed a Kubernetes operator to manage browser resource usage across virtual machines in an auto-scaling EC2 group. Implemented optimization techniques to overcome automated access limitations and improve session performance for high-value clients. Reduced EC2 load time for browser workloads from 2–4 minutes to 15 seconds. Reduced downtime by 73% under high load through modularization and resource isolation. Enhanced platform with a prompt-refinement service and configurable variable naming; added ability to review AI agent actions before execution; introduced fast-update caching and anti-detect browser reliability improvements. Implemented scheduled prompt execution to refine AI browser behavior and assisted frontend development with dynamic variables. Enabled cross-project authentication improvements, personalized purchase packages, and reseller functionali

Software Engineer at BEYIM AI

March 1, 2023 - September 1, 2024

Built a high-performance data layer enabling fast reads/writes and per-user streaming in a global topological order variant; contributed to application development and infrastructure automation. Implemented video streaming with adaptive quality and thumbnails; created a Go package to simplify asynchronous operations and another to automate context injection for interservice communication, reducing production errors by ~10% and lowering code complexity by ~20%. Implemented caching reducing front-end load time from 500ms to 120ms; developed a secure ETL Lambda for analysts; created a customizable xAPI event-tracking HTML component; developed a MAUI desktop app for content creators; implemented full-text search via CDC; built an online payment service with a local banking provider.

Edtech Software Engineer at DIMEDUS (VARDIX GROUP)

June 1, 2020 - March 1, 2023

Optimized the application by 50–70% through improved server and caching strategies, increasing throughput and reducing baseline resource usage. Enhanced the front-end with progressive web app capabilities, offline support, and improved media handling; implemented edge-side processing to offload gigabyte-scale data handling to the frontend, reducing server RAM usage by up to 60% and cutting request times from up to 5 seconds to ~0.2 seconds. Developed a multi-language translation service with caching; built a Telegram bot to deliver key app content; developed dynamic redirection from a web app to a Unity app based on OS and language preferences.

Biology Lab Researcher at NUSOM

August 1, 2018 - May 1, 2020

Developed a pipeline to generate and analyze molecular data, applying AI-driven modifications and interaction checks to support drug discovery efforts. Built end-to-end applications for front-end and back-end; integrated intelligent features to enhance capabilities and user experience; created and customized content management systems with dynamic content and extensions; implemented basic performance improvements and caching for smoother operation; developed automation tools and scripts to streamline tasks and content delivery in the laboratory environment.