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I am a passionate software engineer and machine learning enthusiast based in Munich, Germany. With extensive experience in full-stack web development and machine learning, I have successfully led projects that leverage AI to solve real-world problems in robotics, logistics, and healthcare sectors. I thrive on designing scalable architectures, implementing CI/CD pipelines, and improving model accuracy through continuous learning and active learning pipelines. I hold a Master's degree in Data Analytics and a Bachelor's in Computer Science, and I am committed to continuous learning and sharing knowledge with my peers. I enjoy working in agile remote teams and have a strong interest in startups, intelligent driver systems, and blockchain technologies.…I am a passionate software engineer and machine learning enthusiast based in Munich, Germany. With extensive experience in full-stack web development and machine learning, I have successfully led projects that leverage AI to solve real-world problems in robotics, logistics, and healthcare sectors. I thrive on designing scalable architectures, implementing CI/CD pipelines, and improving model accuracy through continuous learning and active learning pipelines. I hold a Master's degree in Data Analytics and a Bachelor's in Computer Science, and I am committed to continuous learning and sharing knowledge with my peers. I enjoy working in agile remote teams and have a strong interest in startups, intelligent driver systems, and blockchain technologies.

Temirlan Zarymkanov

Full Stack Developer, DevOps Developer, Developer, +1

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I am a passionate software engineer and machine learning enthusiast based in Munich, Germany. With extensive experience in full-stack web development and machine learning, I have successfully led projects that leverage AI to solve real-world problems in robotics, logistics, and healthcare sectors. I thrive on designing scalable architectures, implementing CI/CD pipelines, and improving model accuracy through continuous learning and active learning pipelines. I hold a Master's degree in Data Analytics and a Bachelor's in Computer Science, and I am committed to continuous learning and sharing knowledge with my peers. I enjoy working in agile remote teams and have a strong interest in startups, intelligent driver systems, and blockchain technologies.…I am a passionate software engineer and machine learning enthusiast based in Munich, Germany. With extensive experience in full-stack web development and machine learning, I have successfully led projects that leverage AI to solve real-world problems in robotics, logistics, and healthcare sectors. I thrive on designing scalable architectures, implementing CI/CD pipelines, and improving model accuracy through continuous learning and active learning pipelines. I hold a Master's degree in Data Analytics and a Bachelor's in Computer Science, and I am committed to continuous learning and sharing knowledge with my peers. I enjoy working in agile remote teams and have a strong interest in startups, intelligent driver systems, and blockchain technologies.

Available to hire

I am a passionate software engineer and machine learning enthusiast based in Munich, Germany. With extensive experience in full-stack web development and machine learning, I have successfully led projects that leverage AI to solve real-world problems in robotics, logistics, and healthcare sectors. I thrive on designing scalable architectures, implementing CI/CD pipelines, and improving model accuracy through continuous learning and active learning pipelines.

I hold a Master’s degree in Data Analytics and a Bachelor’s in Computer Science, and I am committed to continuous learning and sharing knowledge with my peers. I enjoy working in agile remote teams and have a strong interest in startups, intelligent driver systems, and blockchain technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Russian

Fluent

Kazakh

Fluent

German

Intermediate

Work Experience

Software Engineer, Master thesis in machine learning at Sewts GmbH

September 1, 2024 - Present

Developed and deployed full-stack web features using TypeScript and Python; implemented machine learning models with PyTorch. Automated CI/CD pipelines, accelerating feature delivery by 200%. Designed a continuous learning pipeline retraining vision models on live data to improve accuracy by 10%. Managed scalable ML workflows on Google Cloud and integrated active learning to reduce manual labeling by 90%.

Team Lead / Full-stack at Fleek.kz

June 1, 2024 - August 21, 2025

Led development of a full-stack web application for cargo shipment booking and tracking using TypeScript (Next.js) and Python (FastAPI). Delivered MVP in 2 months, twice as fast as planned. Served as Scrum Master, facilitating sprints and daily standups. Improved team performance by performing code reviews, onboarding juniors, and leading knowledge sharing.

Software Engineer at Macdent.kz

August 1, 2023 - August 21, 2025

Full-stack software development with PHP and JavaScript, reducing bounce rates by 15%. Automated database backups and added sharding, improving SQL query performance by 1000%. Deployed servers on AWS, increasing load speed fivefold and reducing user wait time significantly. Established CI/CD pipelines doubling development speed.

Machine Learning Researcher at Nazarbayev University

November 1, 2022 - August 21, 2025

Published two scientific papers. Improved model interpretability by 90% balancing accuracy trade-offs. Developed a mobile app-based retraining pipeline for pest detection enhancing performance by 50%. Optimized YOLOv5 architectures on CUDA, significantly boosting efficiency.

Full-Stack Software Engineer at BRI

August 1, 2021 - August 21, 2025

Reduced system downtime by 30% through debugging and optimizing legacy code. Integrated partner systems with databases and established pipelines increasing customer retention by 50%. Developed a mobile product version doubling daily user activity. Enhanced frontend with asynchronous fetching and dynamic loading indicators to improve user satisfaction by 20%.

Software Engineer, Master thesis in machine learning at Sewts GmbH

September 1, 2024 - Present

Developed full-stack web features using TypeScript and Python. Built and deployed ML models with PyTorch. Implemented CI/CD pipelines that doubled feature delivery speed. Designed continuous learning pipelines retraining vision models on live customer data, improving accuracy by 10%. Deployed scalable ML workflows on Google Cloud using managed services. Integrated active learning strategies to reduce manual data labeling efforts by 90%.

Team Lead / Full-stack at Fleek.kz

June 1, 2024 - August 21, 2025

Led full-stack development of a cargo shipment platform using TypeScript (Next.js) and Python (FastAPI). Designed scalable architecture, deploying MVP 2x faster than planned for early customer feedback. Acted as Scrum Master, facilitating remote team sprints and meetings. Conducted code reviews, onboarded junior developers, and led knowledge-sharing sessions to enhance team performance and code quality.

Software Engineer at Macdent.kz

August 1, 2023 - August 21, 2025

Performed full-stack development using PHP and JavaScript to improve user experience, reducing bounce rate by 15%. Created automatic database backup systems, sharded databases, and optimized SQL queries reducing response time by 1000%. Deployed servers on AWS cloud, increasing load speed by 5 times and reducing user wait time from 100ms to 10ms. Established CI/CD pipelines, doubling development speed.

Machine Learning Researcher at Nazarbayev University

November 1, 2022 - August 21, 2025

Published two scientific journal papers. Improved model interpretability by 90% balancing accuracy trade-offs. Developed a mobile app-based retraining pipeline for pest detection, improving performance by 50%. Optimized YOLOv5 architectures on CUDA, enhancing efficiency.

Full-Stack Software Engineer at BRI

August 1, 2021 - August 21, 2025

Reduced system downtime by 30% through debugging and optimization of legacy code. Integrated partner systems to central database, increasing customer retention by 50%. Developed a mobile version of the product, doubling daily user activity from 20,000 to 40,000. Implemented asynchronous data fetching and dynamic loading indicators to improve user satisfaction by 20%.