Our tech team at Monk is a fusion of expertise and innovation. The ML/R&D division delves into the intricacies of artificial intelligence, continually enhancing Monk's products through advanced research in Deep Learning and Computer Vision. The Engineering Team, consisting of the Backend, Data Engineering, and Frontend units, masterfully combines system architecture with a sharp focus on user experience. From integrating cutting-edge computer vision models and ensuring AI algorithms receive high-quality data to designing user-friendly interfaces, the collective brilliance of these teams ensures Monk's technology remains both pioneering and reliable.
Monk AI
Technologies and tools
Backend
Python
100%PostgreSQL
100%RabbitMQ
100%Flask
100%SqlAlchemy
100%SQL
100%
Frontend
React JS
100%React
100%
Devops
Kubernetes
100%ClearML
100%GCP GCE
100%
Python
At Monk, we harness the versatility of Python for backend processes, tap into the power of PyTorch for our advanced AI solutions, and rely on React to deliver a seamless and interactive user experience.
PyTorch
Fueling our cutting-edge machine learning initiatives, PyTorch empowers rapid experimentation and deployment of intelligent solutions.
React JS
Crafting seamless user experiences is a breeze with React JS. Its component-based architecture enables agile development and sleek interfaces
Organization and methodologies
Our organization operates within a hybrid environment, offering flexibility to accommodate individual work styles. Weekly team meetings encourage collaboration, while senior team members mentor junior colleagues in tech skills. Additionally, we have regular one-on-one meetings with management and bi-annual Hackathons to foster innovation. New employees receive on-boarding support from managers, and we follow an agile methodology for efficient project management.
Projects and tech challenges
Webapp Video Integration :
One of our standout projects focuses on enhancing the capabilities of our algorithms through the integration of video into our Web app. While images offer a static view, videos provide dynamic insights, capturing intricate details often missed in photos. This upgrade not only boosts the detection of challenging damages but also addresses issues like false positives resulting from light reflections. The added benefit is a vastly improved user experience, as customers can now get a more comprehensive understanding of vehicle damages in real-time.
Embedded AI on Mobile :
Understanding the constraints of connectivity, we embarked on a project to embed our AI capabilities directly onto mobile platforms. This allows for offline vehicle damage assessments, ensuring our customers can leverage Monk's technology even without internet access. By bringing AI processing to the device, we are effectively expanding our reach and ensuring continuous, uninterrupted service, regardless of external network challenges.
Recruitment process
Sample interview process:
- Interview with the Talent Acquisition team (30min)
- Technical Assessment (depending on role)
- Technical Interviews 1 or 2 (60 - 90 min)
- Leadership level interview (30 min)