3. Data, Science & AI

Extracts paper references and concepts from LaTeX repositories to build a bipartite knowledge graph for research data integration.

Guides database change reviews for schema modifications and data integrity to maintain consistency.

Analyzes investment portfolio allocations, identifies deviations from target percentages, and evaluates margin efficiency for rebalancing decisions.

Builds AI evaluation datasets by extracting queries and responses from knowledge bases, integrating with W&B for test case creation and ground truth data.

Compiles comprehensive daily portfolio analysis reports with actionable financial recommendations.

Generates data-driven project reports and session summaries using data analysis and visualization techniques.

Comprehensive evaluation of AIFindr agents against knowledge bases, supporting single/multiple queries and full dataset testing with markdown/XLSX reports.

View AI-generated summaries and custom analysis outputs for transcripts, enabling review of AI application results.

Manages business data modules (CRM, ITSM, LMS) via PostgREST API for querying, record management, and platform configuration without direct SQL access.

Intelligently selects optimal chart type from 26 options and generates data visualization image using Python based on user specifications.

Aggregates meeting data to analyze patterns, speaker time distribution, and trends through statistical methods.

Main hub for Fireflies.ai SDK, enabling AI-driven meeting transcript analysis, search, insights, and live streaming integration.

Architects subagents for new skills by designing, planning, and optimizing agent structures to enhance skill functionality and efficiency.

Translates natural language to expert prompts, analyzes intent, routes to specialized AI agents, and verifies execution for multi-agent coordination.

An autonomous AI agent utilizing self-improvement loops, quantum branching, and cross-skill orchestration for predictive goal decomposition in complex problem-solving.

Optimizes LLM interactions using advanced prompt engineering, multi-model orchestration, and specialized thinking frameworks for enhanced AI performance.

Autonomous AGI agent leveraging MCP integration for multi-step reasoning, self-improvement, and tool orchestration to solve complex problems.

Builds end-to-end machine learning pipelines for data preprocessing, model training, and real-time inference with MLOps integration.

Analyzes Bilibili UP main's video content using AI to extract core viewpoints and generate personality profile reports.

Designs and orchestrates complex multi-agent AI workflows for autonomous automation, leveraging advanced agent coordination and parallel execution.

Comprehensive NLP solution for text classification, named entity recognition, sentiment analysis, and multi-language document summarization.

Expert AI/ML assistance for model analysis, experiment tracking, and research paper synthesis using specialized tools.

Enables persistent knowledge storage and intelligent recall across projects using integrated memory systems and AI tools.

Enables semantic search and Q&A on Bilibili video knowledge base using vector search and context extraction.