3. Data, Science & AI

Optimizes context handling for AI agents to overcome length constraints, reduce costs, and improve latency in long-running systems.

Provides foundational knowledge on context components, mechanics, and constraints in AI agent systems for architecture design, debugging, and optimization.

Generates interactive HTML reports with visual SEO analysis, Core Web Vitals, and actionable recommendations using Google PageSpeed Insights API.

Builds stateful multi-agent applications with LangGraph for complex AI orchestration, cyclic workflows, and persistent state management.

Enables data querying, analysis, and dashboard creation in Metabase, including REST API access for business intelligence tasks.

Enables AI application development using Perplexity Sonar API for real-time search, citations, and RAG-powered grounded responses.

Executes CRUD operations and schema migrations for Supabase database tables, enabling data management and structural changes.

Provides tools and guidance for creating, configuring, and structuring AI agents, including system prompts, tool permissions, and development best practices.

Expert in database schema design, migration management, and query optimization for PostgreSQL and Supabase, ensuring data integrity and performance.

Expert guidance for numerical stabilization in sail membrane and thin-structure modeling, resolving nonlinear solves, FSI, and stability issues in computational simulations.

Coordinates data pipelines, quality validation, and multi-source aggregation for AI-driven crypto trading, ensuring ML-ready data infrastructure.

Optimizes database query performance using indexing, query restructuring, and execution plan analysis.

Executes Kusto Query Language (KQL) on Azure Data Explorer to investigate SRE incidents using the sre_logs_db database.

AI-driven tool for portfolio risk management, including position sizing, VaR/Sharpe calculation, and dynamic rebalancing strategies.

Guides implementation of Vercel AI SDK v5 for AI chat interfaces, streaming responses, tool calling, and embeddings in AI applications.

Initializes a baseline for a SlotFillingsPlanItem, a planning structure in conversational AI dialogue systems.

Defines behavior rules for AI agents, including model display, thinking process, and model selection, to guide conversation initiation and agent operations.

Performs investment risk analysis using Monte Carlo simulations and generates portfolio risk reports for compliance and stress testing.

Manages cross-validation configurations and fold assignments for machine learning competitions, ensuring robust model evaluation.

Quickly validates neuroscience terminology and naming in code for brain-faithfulness during development.

Automates iterative refinement of AI agent prompts via LLM-as-Judge evaluation, with eval→fix→commit loop and circuit breakers.

Manages user-specific context and memory for personalized AI interactions, enabling retrieval and storage of preferences, values, and past information.

Performs data analysis and visualization tasks, enabling insights from datasets through processing and graphical representation.

Generates weekly KPI reports for 3PL and WMS systems by processing shipment and event data.