3. Data, Science & AI

Advanced analysis of protein molecular dynamics simulations, including DCCM, PCA, and free energy landscape calculations.

Generates text and image embeddings, manages vector databases, and enables semantic search for content similarity matching.

Expert system for Ultralytics YOLOv8/v9/v10, providing documentation on model training, object detection, segmentation, and deployment workflows.

Assists with database schema design, query optimization, indexing strategies, and backup/recovery planning for efficient data management.

Conducts Gage R&R studies and measurement system validation per AIAG MSA standards, covering variable/attribute analysis and acceptance criteria.

Determines optimal Solana data indexing strategies versus direct RPC reads, covering event design, backfill, and storage for data architecture decisions.

Provides canvas-based data visualization with real-time animation for dynamic graph rendering and data exploration.

Generates backend usage analytics, performance metrics, and audit logs with data export capabilities for engineering insights.

Builds and optimizes data pipelines for machine learning, including dataset curation, evaluation metrics, and A/B testing frameworks.

Assists end-users with Snowflake access requests, RSA key generation, and connection setup for basic platform usage.

Plans AI agent actions using reinforcement learning, decision trees, and goal decomposition for complex task execution.

Provides structured templates for AI action prompts, including output formatting and error handling to ensure reliable LLM interactions.

Calculates power consumption, battery life, and runtime for Arduino/ESP32/RP2040 projects, including sleep mode analysis and optimization tips.

Optimizes large language model context windows through memory architecture, history management, and data compression techniques.

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

Collects and analyzes GitHub PRs with AI review comments, organizing data by PR and importance in the project's .scd folder.

Analyzes screenshots using computer vision for UI element detection, OCR, and visual grounding to extract and interpret visual data.

Orchestrates multiple machine learning models, optimizes inference through quantization, and integrates models via APIs for production deployment.

Designs and optimizes system prompts for LLMs using chain-of-thought, few-shot examples, and advanced techniques to improve model performance.

Optimizes system prompts for Claude Code agents using proven prompt engineering techniques to enhance agent performance and behavior.

Assists in fine-tuning large language models using LoRA/QLoRA, optimizing training infrastructure and hyperparameters.

Provides best practices for database design, optimization, and data modeling, including query performance tuning and index strategies for SQL and NoSQL systems.

Analyzes Solana whale wallet activity to identify smart money movements, accumulation patterns, and risk signals for trading alpha generation.

Manages clean and efficient machine learning research and engineering workflows, supporting project initiation, refactoring, and iterative development.