He offers AI-powered project management solutions, designed to improve team collaboration and ensure the on-time delivery of projects. With expertise in Google Cloud AI/ML services, ChatGPT, Hugging Face, and a solid background in data science, he specializes in building AI-driven chat applications and intelligent service platforms that enhance user satisfaction and engagement.
Eric is highly approachable, communicates effectively, and takes a proactive approach to delivering high-quality, innovative solutions tailored to client requirements.
What's included
Requirements Analysis & Feasibility Study
Feasibility of integrating AI into the app.
Recommendations for AI models, frameworks, and tools.
Business value and ROI potential of the AI features.
Technology Stack Recommendation
AI Frameworks: TensorFlow, PyTorch, Core ML, or Google ML Kit.
Backend Infrastructure: AWS SageMaker, Azure ML, Firebase ML, etc.
APIs: OpenAI API, Hugging Face models, or Google Vision.
Deployment options (on-device vs. cloud-based AI).
Prototype or Proof of Concept
A working prototype of the app’s AI feature(s) to validate feasibility and user experience.
He offers AI-powered project management solutions, designed to improve team collaboration and ensure the on-time delivery of projects. With expertise in Google Cloud AI/ML services, ChatGPT, Hugging Face, and a solid background in data science, he specializes in building AI-driven chat applications and intelligent service platforms that enhance user satisfaction and engagement.
Eric is highly approachable, communicates effectively, and takes a proactive approach to delivering high-quality, innovative solutions tailored to client requirements.
What's included
Requirements Analysis & Feasibility Study
Feasibility of integrating AI into the app.
Recommendations for AI models, frameworks, and tools.
Business value and ROI potential of the AI features.
Technology Stack Recommendation
AI Frameworks: TensorFlow, PyTorch, Core ML, or Google ML Kit.
Backend Infrastructure: AWS SageMaker, Azure ML, Firebase ML, etc.
APIs: OpenAI API, Hugging Face models, or Google Vision.
Deployment options (on-device vs. cloud-based AI).
Prototype or Proof of Concept
A working prototype of the app’s AI feature(s) to validate feasibility and user experience.