3. Data, Science & AI

Expert in designing and optimizing Retrieval-Augmented Generation systems, including knowledge base management, chunking strategies, and embedding optimization for production AI applications.

Builds production-ready multi-agent systems using OpenAI AgentKit with best practices for orchestration, handoffs, and routines.

Trains and fine-tunes LLMs using HuggingFace TRL, Transformers, and cloud GPUs with SFT, DPO, and GRPO methods.

Provides enterprise-grade AI architecture patterns for security, governance, scalability, and operational excellence in production AI systems.

Specializes in deploying, fine-tuning, optimizing, and operating Generative AI models on Oracle Cloud Infrastructure's Dedicated AI Clusters.

Provides long-term memory for Claude Code using HelixDB, enabling semantic search and context retention across sessions via graph-vector relationships.

Expertise in developing enterprise AI applications leveraging Azure OpenAI, Cognitive Services, and Azure Machine Learning with scalable architectural patterns.

Expertly designs production-grade AI agent workflows with LangGraph, enabling graph-based orchestration, state machines, and human-in-the-loop control.

Designs framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable systems via JSON/YAML definitions.

Builds autonomous AI agents with Claude Agent SDK, enabling computer use, tool calling, and MCP integration for production deployment.

Expert guidance for building and deploying enterprise AI applications using AWS Bedrock and SageMaker with industry best practices.

Provides patterns and best practices for coordinating multiple AI agents, task decomposition, and workflow orchestration in agent-based systems.

Extracts key component specifications from PDF datasheets, including pin assignments, I2C addresses, and timing requirements for maker projects.

Generates animated diagrams and professional infographics using Chart.js for data visualization tasks upon user request.

Automates updating AI knowledge bases with latest model versions, framework updates, and industry best practices.

Provides long-term memory for Claude Code using HelixDB, enabling semantic search, context retrieval, and reasoning across sessions.

Comprehensive R-based statistical suite for performing and reporting on descriptive, inferential, and advanced modeling analyses with automated output generation.

Generates publication-ready scientific visualizations using TMLR styling and LaTeX rendering, optimized for academic papers.

Enables building AI applications using machine learning, LLMs, and prompt engineering, and supports blockchain smart contracts.

Applies JAX patterns for scientific Python development, covering vmap, JIT, and RNG handling with libraries like JAX, distrax, and numpyro.

Provides 50+ real-world SQL queries for data analysis, featuring exploratory analysis, advanced aggregations, and statistical functions to generate business insights.

Filters X (Twitter) timeline using AI to display relevant technical content (AI/ML research, developer tools) while removing noise and irrelevant posts.

Optimizes SQL queries for improved database performance and efficiency in data retrieval operations.

Builds and optimizes data pipelines, ETL/ELT processes, and data warehousing solutions for large-scale analytics and data systems.