The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.
🚀 Fast, intuitive, and powerful configuration-driven engine for faster and easier REST development
A Configuration-Driven Framework for Reproducible Information Retrieval Experiments
Declarative REST API engine in Go for PostgreSQL: YAML models/relations/presets, fast read-only JSON, nested relations, filters, and sorting. Only two endpoint (/api/index + /api/count) over Postgres, contract in YAML
My personal portfolio showcasing 21 live projects spanning AI/ML, full-stack development, browser extensions, and cloud infrastructure. Built with React, Vite, and Tailwind CSS. Dynamically pulls from GitHub — always up to date. Cloudflare Hosted: https://me.krishnagsvv.workers.dev/
A high-performance, zero-configuration dependency injection library for .NET 9+ that automatically discovers and registers services using attributes, with advanced features like conditional registration, fluent configuration, caching, and plugin extensibility.
Define React forms as JSON, get conditional logic, validation, wizards, and auto-save for free. 12 UI adapter packages. 20 condition operators. Zero form logic in your components.
Xenhey is a workflow-driven Azure integration runtime delivered as a NuGet DLL. It provides plug-and-play connectors for Azure messaging, storage, and data platforms (Service Bus, Event Hubs, SQL, ADX, Storage) and exposes a uniform REST layer for execution and reporting. This lets teams build and operate integration workflows faster
Rust implementation of the Model Context Protocol (MCP) for AI-agent integration with WordPress and beyond.
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