3. Data, Science & AI

Designs vector database pipelines for RAG systems, enabling efficient similarity search, hybrid retrieval, and index maintenance.

Optimizes fine-tuning of Speech-to-Text models (e.g., Whisper) via Unsloth's LoRA pipeline for efficient AI adaptation.

Aligns language models with human preferences using Direct Preference Optimization (DPO) without a separate reward model.

Deep dive into NumPy memory layout: strides, C vs Fortran order, and zero-copy views via stride tricks for efficient data processing.

Manages database schema design, query optimization, and administration for MongoDB and PostgreSQL databases.

Processes and generates audio, image, video, and document content via Google Gemini API for AI-driven analysis and creation.

Enables comprehensive spreadsheet creation, editing, and data analysis with formula handling, formatting, and visualization capabilities.

Offers a unified memory system to store facts, patterns, and context, with query commands for retrieval and analysis.

Manages MCP servers to discover, execute, and integrate AI tools and resources programmatically.

Expertly designs and optimizes database architectures, including schema design, partitioning, replication, and performance tuning for efficient data management.

Packages code repositories into AI-optimized files with customizable patterns, preserving structure for efficient LLM context and analysis.

Automates compression of long texts into concise summaries with multilingual support using AI models.

Generates images from text prompts, providing parameters and preview URLs for immediate use in creative workflows.

Provides GPU-accelerated machine learning for large-scale tabular data using RAPIDS, XGBoost, and ensembling techniques.

Expert database development services including schema design, query optimization, and migrations for SQL and NoSQL databases.

Analyzes structured data to generate statistical reports and data visualization recommendations for actionable insights.

Provides foundational configuration for Personal AI Infrastructure (PAI), handling session initiation, response formats, and security protocols.

Manages design, configuration, and updates of Claude Code subagents, including role analysis and tool permission settings.

Converts therapy session audio to clean, speaker-labeled transcripts with grammar correction and English translation for two-person conversations.

Initializes OpenAI Agents SDK with NATIVE MCP integration for AI chatbot implementation, bypassing @function_tool wrappers.

Generates production-quality Python code for sensor data processing, fusion, and perception systems in Pyodide, with educational examples for IMU, LiDAR, and tactile sensors.

Analyzes therapy session and journal data to generate trend reports, session comparisons, and goal tracking summaries.

Automates retrieval of organization-specific knowledge from CustomGPT.ai for accurate answers on policies, procedures, and technical topics.

Command-line interface for interacting with multiple LLMs, supporting chat, embeddings, and structured data extraction via plugins.