3. Data, Science & AI

Optimizes database query performance by adding indexes, preventing N+1 issues, and refining data access patterns for faster execution.

Analyzes health data to calculate scores and identify abnormal indicators using data science techniques.

Manages context artifacts for AI agents, providing BOOT_CONTEXT and DELTA_CONTEXT to enable fast, token-efficient onboarding without full repo analysis.

Generates professional images using Google Gemini 3 Pro AI model for creative and design applications.

Provides automated guidance for designing database schemas and generating migration scripts to streamline database evolution.

Assists in designing PostgreSQL database schemas, defining table relationships, and managing migrations using SQLAlchemy and Alembic.

Optimizes AI assistant configurations and prompt engineering for maximum effectiveness and behavior enhancement.

ML engineering expertise for PayU Digital Banking Platform, specializing in Python, FastAPI, data analytics, and robust model deployment infrastructure.

Uses AI to analyze images, videos, and audio, providing descriptions, transcriptions, and content insights.

Analyzes learner behavior, progress, and outcomes to generate data-driven insights for educational optimization.

Imports Synnovator platform data from Markdown files into SQLite via SQLAlchemy models for test data population and database initialization.

Orchestrates autonomous AI development cycles with structured task workflows and integrated quality assurance checkpoints.

Transcribes audio/video to text using Whisper AI with word-level timestamps for accurate captioning and analysis.

Creates conversational AI agents using Vercel AI SDK and OpenRouter for Next.js frontends with streaming UI, tool calling, and multi-provider support.

Diagnoses and mitigates context degradation in AI agent systems to maintain performance and reliability during complex interactions.

Provides read-only database analysis for FutbolStats using SELECT queries on PostgreSQL, focusing on data investigation and metrics without modifying data.

Automates parsing of financial statements from PDFs, images, and CSVs using AI vision models with confidence scoring.

Framework for building, testing, and deploying algorithmic trading strategies using historical market data and backtesting.

Provides high-performance semantic indexing and retrieval for local PDF and Markdown files across multiple repositories, enabling efficient document search and analysis.

Provides comprehensive guidance for inter-agent communication using the Synapse A2A framework, including message routing, priority handling, and task management for multi-agent systems.

Creates project-specific agents.md files for Builder.io Fusion, defining AI instruction conventions, build commands, and coding standards to enhance AI code generation quality.

Generates SEO audit reports by ingesting Google Search Console data, storing in sql.js, and visualizing query/page performance metrics.

Creates interactive data visualizations with D3.js and Helios, including charts, graphs, and data-driven animations.

Creates data-driven animations and visualizations using D3 and P5 libraries for dataset representation.