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Christoeverywhere/README.md

Christopher GitHub Banner

Christopher Neon Header

CSE STUDENT • AGENTIC AI • AUTOMATION • DATA ANALYTICS • BUILDING EMBEDDED SYSTEMS

Computer Science & Engineering student focused on agentic AI systems, automation workflows, and practical software engineering.
I build projects in AI agents, workflow orchestration, validation systems, data analytics, testing, and real-world software pipelines.
Currently exploring agentic automation, LLM-powered systems, structured validation pipelines, and embedded Linux/RISC-V systems and blockchain security.

✦ CURRENTLY_WORKING_ON

  • ▶ Agentic AI workflows and multi-agent automation systems
  • ▶ LLM-powered structured validation and transformation pipelines
  • ▶ Data analytics and real-world dataset projects
  • ▶ Python testing, validation gates, and reliable workflow design
  • ▶ Embedded systems projects with Debian Linux and RISC-V
  • ▶ DBMS concepts, SQL queries, triggers, cursors, and exception handling
  • ▶ BlockChain Security with Wifi Modules

✦ TECH_STACK

✦ FEATURED_PROJECTS

◆ RADIX Engine

A multi-agent workflow and automation system focused on structured AI pipelines, prompt interpretation, validation gates, transformation logic, and reliable output generation.

◆ Agent Discovery & Usage Platform

A FastAPI-based platform for registering agents, searching them, extracting tags, and tracking idempotent usage with analytics and usage summaries.

◆ Embedded RISC-V Debian Linux System

A practical embedded systems project involving a Debian Linux setup on a RISC-V environment, focused on low-level system interaction, Linux workflows, and system-level experimentation.

◆ Women’s Football Analytics

A machine learning and analytics project using data scraping, cleaning, transformation, and XGBoost-based injury prediction to uncover insights from women’s football data.

◆ Guardian Eye

A Python-based women’s safety project focused on building a practical safety-oriented system for awareness, monitoring, and protection-related use cases.

◆ Python Learning & Experimentation

A collection of hands-on notebooks and mini-projects covering NumPy, regex, JSON, testing, and practical programming fundamentals.

✦ GITHUB_STATS

✦ CONTRIBUTION_GRAPH

✦ CONNECT_WITH_ME

BUILDING AGENTIC SYSTEMS • EXPLORING EMBEDDED SYSTEMS • TURNING CURIOSITY INTO PRACTICAL PROJECTS

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  1. Company-Data-Collector-Agentic-Ai Company-Data-Collector-Agentic-Ai Public

    (RADIX stepping stone)A modular Python-based multi-agent workflow for converting natural language prompts into structured UI definitions and generated Python/React code with validation to reduce ha…

    Python

  2. AI-Agent-Registry AI-Agent-Registry Public

    FastAPI-based Agent Discovery & Usage Platform with agent registry, search, tag extraction, idempotent usage logging, and usage summary analytics

    Python

  3. WomensFootBallAnalytics WomensFootBallAnalytics Public

    The Project develops a machine learning model using XGBoost to predict injury risks in women’s football by analyzing workload, recovery metrics, and player data. It identifies key risk factors such…

    HTML

  4. company-data-model company-data-model Public

    "Shared Pydantic BaseModels and Pytest parameter configurations for Radix Engine", Working on complete workflow automation

    Python

  5. lightweight-blockchain-mesh lightweight-blockchain-mesh Public

    A 3-node ESP8266 mesh-style IoT network with dynamic peer discovery, lightweight blockchain-inspired packet verification, tamper detection, and malicious node isolation.

    C++