priyank766/priyank.github.io
Portfolio Website
AI is not the way to AGI
Portfolio Website
MCP Server for AI-Assisted Development with Kubeflow Tools
MCP server enabling HydraDB memory operations (store, recall, search) in AI coding tools
Repository used to main group ACLs used by Kubeflow developers
CADai is a three-tier web application designed to integrate natural language AI interaction with a professional 3D computer-aided design (CAD) environment. The application features a React-based 3D frontend, a Python backend, and an AI agent layer.
a OpenSource Code Review Skill for everyone
A curated list of Claude Skills.
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Readme for the homepage for github
An agentic harness for drug-discovery research disease name → ranked candidates · underexplored targets · cross-indication leads
A local, reproducible comparison framework that puts Recursive Language Models (RLMs) head-to-head against standard LLM inference on long-context tasks — using the exact same model for both. Includes SFT training with QLoRA and Muon optimizer ablation.
Cross-agent memory for AI coding agents. Local-first.
AI-powered platform where researchers interact with a conversational agent that autonomously retrieves protein structures, detects binding pockets, runs molecular docking, profiles interactions, and generates visual + textual scientific reports — all through natural language.
Cortex is an open-source agent workspace built for operating inside a real project folder instead of stopping at chat. It combines a React frontend, a FastAPI backend, scoped file access, persistent conversation state, and sandboxed shell execution so the agent can inspect files, take actions, and surface everything it does.
FrontFrEND, an AI-powered assistant that analyzes frontend code (HTML/CSS/JS), suggests UI/UX improvements, generates real-time visual previews, and automates GitHub pull requests to enhance developer productivity and streamline code review.
Universal Python SDK to run AI workloads on Kubernetes
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
An AI-powered Streamlit application for efficient arXiv paper discovery and literature-review style summarization using large language models. It helps researchers and students quickly stay updated with the latest academic publications.
An intelligent AI-powered By Google ADK and A2A Protcol for travel planning application that generates personalized itineraries, accommodation recommendations, and trip deals using a microservices architecture.
This project is an automated algorithmic trading system that fetches stock data, applies a trading strategy based on technical indicators and a machine learning model, and logs the trading signals to Google Sheets. with complete automation in one click
The chatbot assists in the initial screening of candidates by gathering essential information and posing relevant technical questions based on the candidate's declared tech stack.
A robust browser automation agent designed to interact with web pages programmatically, exposed via a FastAPI web interface. This project leverages Playwright for browser control and `mcp-agent` for core agent functionalities, providing a powerful and flexible solution for web scraping, automated testing, and other browser-based tasks.
This project implements a Streamlit application that allows users to interact with a PDF knowledge base using different Retrieval-Augmented Generation (RAG) techniques.
This repository demonstrates and compares two advanced approaches for customizing Large Language Models (LLMs): Fine-Tuning and Retrieval-Augmented Generation (RAG). Both methods are implemented and evaluated here using real-world company profile data
multimodal Retrieval-Augmented Generation (RAG) designed to analyze veterinary medical documents, with a specific focus on dog health. This script uses cutting-edge language models, document parsing tools, and vector search technologies to provide advanced question answering and summarization capabilities.
This project is a web application that allows users to summarize YouTube videos using AI. It extracts the transcript of a given YouTube video and then uses the Google Gemini API to generate a concise summary with key takeaways.