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KiRiTo5002/README.md

Hi, I'm Pranjal Semalty 👋

AI Engineering Student • Building AI Systems from Scratch

> Who Am I?

Pranjal Semalty

AI Engineering Student
Focused on understanding and building AI systems
with LLMs, RAG, AI Agents and backend engineering.

Location  : India 🇮🇳
Learning  : AI Engineering, Agentic AI, RAG, MCP
Currently : Building DawnCode
Goal       : AI Engineer

🚀 Featured Projects

🌅 DawnCode

Coding Agent Built From Scratch

A Python coding agent built to understand how AI coding agents work internally. DawnCode implements the agent loop, streaming, tool calling, tool execution, file operations and shell execution without relying on an agent framework.

Current Tools

  • read_file
  • list_directory
  • write_file
  • edit_file
  • execute_command

Stack

Python LLMs OpenAI API NVIDIA Nemotron Rich

🧠 Sylvia

AI Knowledge Assistant

A modular RAG system focused on understanding retrieval pipelines, embeddings, vector search and LLM-based question answering.

Stack

Python FastAPI Qdrant LLMs

📄 CVRanker

AI-powered Resume Ranking Platform

Extracts structured information from resumes and job descriptions using LLMs, then ranks candidates using explainable matching.

Stack

Python Groq Pydantic Streamlit

💻 Tech Stack

Languages

AI & Backend

🧠 Areas I'm Working On

  • AI Agents
  • Agentic AI
  • LLM Engineering
  • Retrieval-Augmented Generation
  • Tool Calling
  • Model Context Protocol (MCP)
  • AI System Design
  • AI Evaluation
  • Backend Engineering

🎯 2026 Goals

  • Build DawnCode into a capable coding agent
  • Deepen understanding of AI system design
  • Build and evaluate production-oriented AI systems
  • Contribute to Open Source
  • Land an AI Engineering Internship

📚 Currently Learning

  • AI Engineering
  • Agentic AI
  • RAG Systems
  • Model Context Protocol (MCP)
  • LLM Tool Calling
  • AI Evaluation
  • System Design

🌐 Connect

"Build. Understand. Iterate."

Pinned Loading

  1. Dawncode Dawncode Public

    A lightweight coding agent built from scratch to explore how AI coding assistants work under the hood.

    Python 1

  2. AskSylvia AskSylvia Public

    An AI-powered research assistant that can understand documents, retrieve relevant context, and answer questions using Retrieval-Augmented Generation (RAG).

    Python 1

  3. CVRanker CVRanker Public

    AI-powered resume ranking platform that uses LLMs to extract structured information from resumes and job descriptions, then scores and ranks candidates based on skill and experience matching.

    Python 1

  4. Python Python Public

    Python

  5. Learn_AI Learn_AI Public

    Python