3. Data, Science & AI

Provides AI-powered tools for financial operations including bookkeeping, forecasting, budgeting, and data-driven decision-making.

Builds AI-driven personalization systems including recommendation engines, collaborative filtering, and LLM-enhanced user experiences for tailored content.

Expert in vector embeddings and retrieval systems for semantic search, utilizing Qdrant and pgvector for similarity and hybrid search.

Processes satellite imagery, hyperspectral data, and SAR for Earth observation using machine learning and remote sensing analytics.

Expert guidance on AI image editing techniques including inpainting, outpainting, and ControlNet, with API integrations for Stable Diffusion models.

Builds production-ready semantic search systems using vector databases, embeddings, and RAG with support for multiple vector DBs and embedding models.

Enables data-driven product decisions via event tracking, metrics design, and user behavior analysis to transform metrics into actionable outcomes.

Statistical analysis and regulatory guidance for clinical trial design, including survival analysis and sample size calculation per FDA/EMA standards.

Provides AI/ML-driven computational patterns for drug discovery, including virtual screening, molecular docking, and ADMET prediction.

Provides implementation support for computer vision tasks including object detection, segmentation, and 3D vision using AI models like YOLO and SAM.

Designs effective tool schemas and descriptions for AI agents using JSON Schema best practices and MCP standards to prevent hallucinations and reduce token costs.

Automates neural network architecture design and hyperparameter optimization using NAS, Bayesian methods, and AutoML tools.

Specializes in designing hierarchical memory systems for AI models, emphasizing consolidation, salience learning, and outcome-based feedback using tools like mem0 and zep.

Delivers comprehensive statistical analysis including hypothesis testing, Bayesian methods, and regression for research and data science, emphasizing correct interpretation and avoiding common errors.

Specializes in designing efficient database schemas, optimizing queries, and ensuring data integrity for relational and NoSQL databases.

Designs and implements intelligent NPC behaviors using AI techniques like behavior trees, pathfinding, and GOAP to enhance player experience in games.

Generates synthetic data for ML training, testing, and privacy preservation using LLM-based and tabular synthesis techniques with quality validation.

Comprehensive patterns for building AI code generation tools using LLMs with function calling and structured output for code review, refactoring, and completion.

Expert in Langfuse for LLM observability, enabling tracing, prompt management, evaluation, and monitoring of production LLM applications.

Provides blockchain data analysis using Dune Analytics and SQL, including dashboard creation for protocol metrics, TVL tracking, and token analytics.

Expertly configures Segment CDP for event tracking, data routing, and governance with best practices.

Analyzes financial market data using price action, chart patterns, and technical indicators to identify trading opportunities.

Provides infrastructure and practices for reproducible computational research, including environment management, data versioning, and code documentation.

Optimizes LLM interactions by implementing prompt caching, response caching, and Cache Augmented Generation (CAG) to enhance performance and reduce costs.