Leveraged the power of Google Cloud's Vertex AI platform to develop advanced Large Language Models (LLMs). Utilizing the Python API provided by Google Cloud, this endeavor represents a significant stride in the realm of natural language processing and LLMs.

This is a RESTful API testing Framework using C#, .NET Core, xUnit, Specflow with Context Injection, Flurl and Fluent Assertions to test JSONPlaceholder REST API.

A FastAPI gateway for local LLMs that adds intelligent web research, multilingual recency/how-to detection, time-anchored guidance, context injection, and OpenAI-compatible SSE streaming. Turn any local model into a recency-aware, context-enhanced assistant instantly.

Smart context injection tool for Claude Code CLI - automatically includes project-specific context, timestamps, and dynamic variables in every prompt

Fine-tunes a T5-small model on the TellMeWhy dataset using context injection from a large language model (Gemini) to improve causal reasoning for “why” questions in narratives. Combines efficient training with human and automated evaluations to assess impact.

An API gateway that connects user queries with RAG-based document search and LLM-powered natural language answers. Built for document Q&A and knowledge workflows.

Demo of context injection by an AI Agent to creator browser based authorization flows during browser hijacking session by AI

An innovative chatbot system that leverages the power of GPT-4 and Chroma embeddings to deliver context-aware responses based on provided documents.

High-performance Node.js framework with automatic parameter injection, eliminating route handler boilerplate. Features middleware chaining, built-in HTTP client, plugin system, and CLI with

Context stuffing for LLMs