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Building Production AI Systems on Google Cloud

End-to-end Machine Learning on Vertex AI and Integration of Agentic Workflows in your GCP infrastructure 

Modern MLOps For Efficient Machine Learning

Automate your machine learning processes so you can rapidly go from concepts to products

Google Cloud and Vertex AI Setup

Full Machine Learning Infrastructure setup with Vertex AI, model versioning, Workbenches, Vertex AI Pipelines, Cloud Build CI/CD, Cloud Functions, BigQuery, GCS and many other GCP services

Agentic Workflow Investigation and
AI Workshops

Detailed investigation in your project's capability to integrate AI Agents in possible workflows. Our team host workshops for employees to use and manage Agents for during and post engagement.

Model Monitoring with Custom Looker Dashboards

We build custom dashboards which monitor all model metrics, train jobs, pipeline runs, data drift, model decay. This dashboard becomes the go-to place for data scientists and machine learning specialists to manage their research efficiently and easily turn into products

Production Grade
AI Agents

AI Agents built using ADK and managed on GCP using Vertex AI Agent Engine. We add agentic workflows in your current or new projects.

Gemini Enterprise

Full Gemini Enterprise Setup and Integration of custom agents enabling company employees to use agentic workflows easily.

Ponders' Impact

Rapid Prototyping

Quick MVP Development for agentic systems or ML models

Production Grade

Deploy to production and scalable infrastructure on GCP

Robust Pipelines

Using hybrid approach with tradional ML + agentic AI for robust deterministic systems

Cost Optimization

Reducing your token costs through strategically chunking your agentic pipelines

Senior AI Engineer

Ahsan is an expert in building AI Agents and setting up MLOps on GCP. With over 7 years of experience in building machine learning solutions and products.

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Ponders

AI Systems for Companies

Reach out to us to explore how we can integrate with your cloud infrastructure.

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