Data Science & ML Agent Skills

AgentDB Vector Search

Accelerates semantic document retrieval and similarity matching with ultra-fast HNSW indexing and memory-efficient vector storage.

Deep V3 Agentic Flow Integration

Optimizes Claude's agentic framework by integrating deep adapter layers that eliminate redundant code and boost performance through Flash Attention and AgentDB.

Neural Training & Pattern Optimization

Optimizes neural architectures using SONA, Mixture of Experts (MoE), and EWC++ for high-performance AI pattern learning and knowledge consolidation.

ReasoningBank Intelligence

Implements adaptive learning and pattern recognition systems to enable AI agents to optimize strategies through continuous experience tracking.

Semantic Vector Embeddings

Empowers Claude with high-performance vector embeddings, HNSW indexing, and persistent semantic search capabilities.

Trading Predictor Agent

Predicts market movements and executes trades using sublinear algorithms and temporal advantage calculations to outpace traditional data transmission speeds.

Trading Predictor Agent

Automates high-frequency trading and market predictions using sublinear algorithms and temporal lead calculations to gain competitive execution advantages.

AI Agent Architect

Architects and implements autonomous AI agent systems using sophisticated planning, memory, and tool-integration strategies.

LLM Application Patterns

Implements production-ready architectures for LLM-powered applications, including RAG pipelines, agentic workflows, and LLMOps monitoring.

Academic Research Engineer

Implements high-performance software and complex algorithms with uncompromising scientific rigor and formal verification.

Voice AI Development

Builds high-performance, low-latency voice AI applications and real-time conversational agents using industry-leading providers.

Voice AI Development

Architects high-performance AI voice agents with optimized latency for natural, real-time human-AI conversations.

AI Product Engineering

Builds production-grade AI features using robust LLM integration patterns, structured output validation, and cost-effective prompt engineering.

Academic Research Engineer

Implements high-performance software and complex algorithms with absolute scientific rigor and formal verification standards.

Professional Excel & Financial Modeling

Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with industry-standard financial modeling practices.

AI Agents Architect

Designs and implements robust autonomous AI agents with sophisticated tool use, planning strategies, and multi-agent orchestration capabilities.

LLM Application Patterns

Provides production-ready architectural patterns for building robust LLM applications, covering RAG pipelines, autonomous agents, and LLMOps observability.

AI Agent Systems Architect

Architects and implements autonomous AI agent systems featuring robust tool use, memory management, and multi-agent orchestration.

LLM Application Patterns

Provides production-ready architectural patterns and implementation guides for building robust LLM applications, RAG pipelines, and AI agents.

LLM Prompt Caching

Optimizes LLM performance and reduces API costs by implementing advanced prefix caching, response caching, and Cache Augmented Generation strategies.

Prompt Engineering Expert

Optimizes AI performance and reliability through advanced prompting patterns like Few-Shot Learning and Chain-of-Thought reasoning.

Content-Hash File Caching

Implements path-independent, auto-invalidating file processing caches using SHA-256 content hashes for maximum performance.

Conversation Memory

Implements tiered memory systems for LLMs to maintain persistent context and entity-based knowledge across interactions.

LangGraph Agent Architect

Builds production-grade, stateful AI agents using the LangGraph framework for complex, multi-actor workflows.

Conversation Memory

Implements sophisticated persistent memory systems to help AI assistants retain context and user information across multiple interactions.

Spark Optimization

Optimizes Apache Spark data processing jobs through advanced partitioning, memory management, and shuffle tuning.

Conversation Memory

Implements persistent, multi-tiered memory systems to enhance LLM context retention and entity tracking across interactions.

BayesFlow Model Validation

Validates BayesFlow neural posterior estimators using simulation-based calibration (SBC) and comprehensive diagnostic metrics.

AI Product Architect

Architects and implements high-quality, defensible AI-powered products by bridging LLM APIs with specialized domain logic and robust cost controls.

Agent Memory Architectures

Architects robust memory systems for intelligent agents using short-term, long-term, and episodic retrieval patterns.