3. Data, Science & AI

Enables structured multi-agent AI collaboration for problem solving, document review, and expert consultation simulation, enhancing comprehensive analysis.

Facilitates collaborative debate among multiple AI models (Claude, Grok, Gemini) via shared file editing to reach consensus, eliminating manual workflows.

Analyzes Weibo trending topics, evaluates product potential with a scoring system, and generates market-driven creative concepts via an interactive dashboard.

Balances casino game mathematics including odds, RTP, house edge, and variance to ensure fair and profitable game mechanics through precise probability calculations.

Tracks implementation velocity metrics including actual vs estimated hours, defects, and test coverage to generate data-driven estimates and dashboards for team planning and reporting.

Enables creation, editing, and analysis of spreadsheets including formulas, formatting, and data visualization for data-driven tasks.

Automates AI model selection (Opus, Opus Thinking, Sonnet) for NinjaTrader strategy development, optimizing critical trading logic and live trading workflows.

Prepares PDF books for LLM analysis by splitting into chapter-based chunks and converting to markdown, preventing context overflow.

Deploys cloud-based AI inference servers for private LLM, image generation, and embedding services using OpenAI-compatible APIs for seamless tool integration.

Processes audio, video, and media using cloud GPUs with AI models including Whisper for transcription, voice cloning, and video generation, syncing results to Mac.

Specialized cloud GPU-based training for LLM fine-tuning (LoRA/QLoRA), image models, and custom classifiers with production-ready pipelines.

Creates and edits Obsidian Bases (.base files) with database-like views, filters, formulas, and summaries for structured note organization.

Converts wiki-style image links to Markdown with AI-generated descriptions for markdown preprocessing and text-based image understanding.

Enables querying and retrieving structured data from Airtable bases, tables, and records for data integration and processing.

Debugs GPU CLI errors including OOM, sync, and connectivity issues, converting cryptic messages into clear solutions for AI/ML development.

Extracts samples, messages, events, and metrics from Inspect AI evaluation log files using Python API for AI model analysis.

Analyzes hiring market data to generate reports, identify trends, and create visualizations for business insights and content.

Manages company database integrity by validating entries, checking career page functionality, and expanding coverage for Greenhouse and Lever recruitment platforms.

Builds executable futures trading strategies via AI-guided dialogue, handling contract specs, risk management, and prop firm compliance for traders.

Manages long-term memory for AI agents using semantic search, enabling storage and retrieval of conversation context, user preferences, and key information.

Optimizes AI agent instruction files by splitting into modular sections and references, reducing context size without information loss.

A framework for generating, compiling, and linting AI prompts to conform to the Agnostic Prompt Standard (APS) v1.0.

Expertise in building production AI agents and workflows with Microsoft's Agent Framework, including multi-agent orchestration and tool integration.

Specializes in LLM-driven semantic code analysis and token optimization for concise code summarization.