3. Data, Science & AI

Enables semantic search and RAG using Cloudflare Vectorize for vector indexes, embeddings, and similarity search operations.

Deploys production-ready recommendation systems with feature stores, caching, and A/B testing for personalization APIs and low-latency serving.

Provides second opinions from multiple external AI models (Gemini, OpenAI, Claude) for debugging, architecture, security, and fresh perspective synthesis.

Managed RAG system for Google Gemini supporting 100+ file formats to enable document Q&A and knowledge base applications with Gemini 3 Pro/Flash.

Enables stateful chatbot development with OpenAI Assistants API v2, supporting RAG, Code Interpreter, and File Search for AI-driven interactions.

Enables building AI voice agents with RAG integration and troubleshooting common development issues in React, JS, Native, and Swift.

Extracts dynamic web content and converts it to LLM-ready markdown, handling JavaScript rendering and bot detection for AI-ready data ingestion.

Provides Google Gemini embeddings (gemini-embedding-001) for RAG and semantic search, handling vector operations and API challenges like dimension mismatches.

Generates optimized prompts for Gemini 2.5 Flash Image to enhance image generation quality, art styles, and multi-turn editing consistency.

Trains ML models with scikit-learn, PyTorch, and TensorFlow for classification, regression, and neural networks, handling overfitting and convergence.

Designs effective KPI dashboards using data visualization best practices and strategic metric selection for business analytics.

Deploys machine learning models using FastAPI, Docker, and Kubernetes for scalable prediction serving, containerization, and monitoring.

Automates machine learning workflows including pipeline execution, retraining schedules, and experiment tracking using Airflow, Kubeflow, and MLflow.

Designs and reviews database schemas for PostgreSQL and MySQL, ensuring proper normalization, relationships, and constraints to avoid common pitfalls.

Enables building AI agents on Cloudflare Workers with MCP integration, tool use, and LLM provider support for edge-based applications.

Enables serverless GPU inference for AI tasks including LLMs, text/image generation, and embeddings via Cloudflare Workers, handling common AI service errors.

Builds AI-powered recommendation systems using collaborative filtering, matrix factorization, and hybrid models to address cold start and sparsity issues.

Manages the lifecycle of skills for AI coding agents, including listing, editing, sharing, and auditing.

Generates entity-relationship diagrams and attribute tables for database design using Mermaid.js.

Processes and generates multimedia content (audio, images, videos, documents) using Google Gemini API for advanced vision and multimodal analysis.

Extracts and structures data from scientific papers, including citation graphs and OpenAlex integration, to build research datasets from PDFs.

Optimizes prompts for AI models including LLMs and image generators, covering structure, style, negative prompts, and domain-specific patterns for marketing, code, and creative writing.

Fetches current weather, temperature, and forecasts for locations using the Open-Meteo API for real-time data access.

Corrects caption timing to precisely align with audio speech using the LattifAI Lattice-1 model for forced alignment.