Candidate briefing for

Leon

from

Cortea AI

Artem

Komarov

Artem Komarov is a Hamburg-based ML Engineer with experience in optimizing AI systems and deploying scalable ML solutions. He improved search performance for a €500M company, automated model deployment to streamline A/B testing, and optimized deep learning models at Huawei—reducing size by 50% and increasing LLM speed by 20%. With strong skills in Python, C++, and cloud platforms, and a master’s in applied mathematics, he brings both technical expertise and academic rigor to AI-driven development.

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2% Talent

Part of 78 admissions from 4,340 applications

Our latest summer batch had an acceptance rate of just 1.79%.
Out of 4,340 applications, 1,982 were manually pre-screened, 588 were interviewed, and 211 were given a take-home project to assess critical skills like market research, lead generation, multi-channel outreach, and cold-calling. These projects are designed to identify top talent capable of excelling in real-world scenarios. Ultimately, only 78 candidates made it into our active talent pool.

Candidate Highlights:

A highly skilled ML Engineer with a strong track record in optimizing AI systems and deploying machine learning solutions at scale. He improved search success rates for a €500M company and automated AI model deployment to accelerate A/B testing. At Huawei, he reduced deep learning model size by 50% and boosted LLM processing speed by 20% without sacrificing accuracy. Proficient in Python (PyTorch, TensorFlow), C++, Golang, and cloud platforms like GCP and Azure, Artem brings end-to-end ML development expertise backed by a Master’s in Industrial and Applied Mathematics and a Bachelor’s in Mathematics and Physics.

Our take:

Artem Komarov is an ideal fit for the Founding Backend Engineer role, bringing deep experience in backend development, machine learning systems, and AI infrastructure. At freiheit.com, he enhanced search success for a €500M company and automated AI model deployment to streamline A/B testing—directly aligning with your mission to build scalable AI audit systems. His work at Huawei optimizing deep learning models and improving LLM efficiency showcases his ability to handle complex technical challenges, while his proficiency in Python, C++, Golang, and cloud platforms like GCP and Azure matches your backend and infrastructure stack. With strong academic credentials in applied mathematics, hands-on experience across ML pipelines, CI/CD, and API design, and current availability in CET from Hamburg, Artem is well-prepared to contribute to your team’s technical direction, product development, and long-term success.

Communication skills

Candidate voice memo