Hire Golang Developers

Pynest partnered with a leading healthcare tech company to revolutionize the backend of their online pharmacy application. The project focused on creating a custom framework and deploying backend services tailored for Android, iOS, and web platforms. By leveraging Golang’s efficiency, the team improved response times by 40%, enhanced user experience, and integrated advanced tools like OpenTelemetry, Jaeger, and Kibana for seamless monitoring. The robust backend infrastructure enabled real-time communication between the app and core systems, allowing users to effortlessly search pharmacies, browse products, and order deliveries.

The results were transformative: a 20% increase in Daily Active Users (DAU), a 50% reduction in feature delivery timelines, and a scalable system capable of doubling its user load. This success highlights Pynest’s ability to deliver high-performance, scalable solutions through IT staff augmentation, empowering businesses to overcome complex challenges and drive significant growth.

Pynest partnered with a client to develop a cutting-edge video sharing and summarization platform. The solution combines AI-powered transcription and summarization with features like interactive annotations, time-coded comments, and emoji reactions to enhance collaboration. With a modular architecture built in Golang, the platform includes AI-powered transcription using Whisper, browser extensions for cross-platform recording, and Kubernetes for scalable deployments, ensuring smooth operation across devices and environments.

The platform delivered transformative results: video processing times improved by 60%, collaboration productivity increased by 40%, and cross-platform compatibility expanded market reach by 30%. By addressing key challenges like slow video processing and inefficient collaboration tools, the solution positions businesses to simplify content workflows and enhance user engagement.

Pynest partnered with a client to develop SmartLearn, an innovative e-learning platform designed to simplify and enhance video-based educational workflows. The platform integrates AI for real-time transcription, summarization, and tagging of video lectures, making content more accessible and efficient to navigate. Interactive tools like time-coded annotations and collaborative notes increase engagement, while a Golang-based backend, supported by PostgreSQL, Kafka, and Kubernetes, ensures seamless scalability and performance across devices.

The solution achieved impressive results: video processing times decreased by 50%, learner engagement increased by 35%, and the client’s global user base grew by 25% within the first quarter. This project demonstrates the transformative potential of AI and scalable architecture in revolutionizing e-‍learning experiences.