Toptal delivers 5X machine learning performance gains to accelerate protein design for biotech firm.

A biotech company needed to quickly replace a departing senior engineer to maintain momentum on its protein design initiative. Toptal delivered specialized expertise to optimize model performance and sustain rapid experimentation.

Client

A deep-tech biotechnology company developing machine-learning-driven protein design platforms for drug discovery.

Revenue

$941K

Industry

Healthcare & Life Sciences

Delivered Services

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Challenge

The company faced operational risk as a key engineer prepared to depart, leaving a critical gap in deep learning model training and deployment. Any delay in hiring threatened experimentation timelines and innovation in a highly competitive research environment.

Solution

Rapid Placement of Expertise

Toptal developed the app using React Native and TypeScript, implementing LLMs on a back-end server for smooth functionality.

GPU Benchmarking and Optimization

By carefully testing and refining how models were run, the engineer moved workloads to newer, more powerful GPUs, significantly improving speed and efficiency.

Outcome

Faster Model Performance

Machine learning capabilities greatly improved, achieving a remarkable 5X increase in model performance. The optimizations enabled quick iterations on new protein designs.

Stronger Foundation for Innovation

Improved infrastructure and optimized workflows positioned the company to accelerate protein design research while maintaining cost efficiency and long-term scalability.

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