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Veer376/README.md

👋 Hi, I'm Aryaveer Typing SVG

Internship LinkedIn LeetCode

Starting with a bold idea, I methodically untie knotty problems, translate them into reliable backend architecture, and present the results through joyful, lightning-fast user experiences.

Featured Projects

Doot Agent Doot Agent
doot-agent-query1.mp4

dootagent.com

A sophisticated agentic orchestration platform built with LangGraph for autonomous task execution. Features advanced AI agent architecture with checkpointing, interrupts, real-time streaming, memory management, and dynamic tool selection. Building specialized agents for browser automation, MCP integration, and multi-agent company workflows.

Stack: Next.js, FastAPI, Python, Supabase, LangGraph, AI Orchestration, Docker microservice.

✏️ Sketch AI
Sketch AI Demo

sketch.ai

An interactive canvas application combining drawing capabilities with AI-powered analysis using Google's Gemini AI. Draw sketches, diagrams, or questions on the canvas and get instant AI responses and analysis. Perfect for brainstorming, learning, and creative exploration.

Tech Stack: TypeScript, Next.js, Google Gemini AI

🏥 Virtual Patient Simulator
virtual_patient.mp4

A medical training tool that simulates realistic patient responses using a fine-tuned Llama model to help medical professionals practice patient interactions. The system uses LoRA fine-tuning to adapt pre-trained models for medical dialogue while preserving general language capabilities.

Tech Stack: Python, Llama, LoRA Fine-tuning
Highlights: Medical dialogue processing, Patient persona simulation, Educational tool for healthcare

🛒 Smart Shopper
smart_shopper.mp4

An intelligent Django REST API that provides near real-time product search using SerpAPI's Google Shopping results. Optimized with async HTTP calls, Redis caching for performance, and built-in analytics tracking to monitor query patterns and cache efficiency.

Tech Stack: Django, SerpAPI, Redis, HTTPX, Python
Highlights: Async requests with retries, Redis caching with TTL, Normalized product parsing, RESTful API

🍷 Conversational Concierge
conversation_agent.1.mp4

A lightweight LangGraph conversational agent built for a Napa Valley wine business with Streamlit UI. The agent answers questions from uploaded documents, performs web searches, and provides weather forecasts. Features modular tool architecture and real-time tool call visualization.

Tech Stack: Python, LangGraph, Streamlit, LLM
Highlights: Document retrieval, Web search integration, Weather API, Modular tool system, Interactive UI


Skills

React.js, Next.js, Node.js, FastAPI, Flask, Supabase, LangGraph, Gemini, Spring boot, MongoDB, Redis, PostgreSQL, Docker, AWS, Google Cloud, Microservices, Kafka, Git.

My Skills

Pinned Loading

  1. snippet-flow-backend snippet-flow-backend Public

    Python

  2. Drowsiness-Detection Drowsiness-Detection Public

    Python

  3. LegalDoc-QA LegalDoc-QA Public

    Python

  4. LinkedIn-Connection-Automation LinkedIn-Connection-Automation Public

    Python