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agarwaltech/README.md
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# ============================================================
#  SYSTEM PROFILE — ANSHUL AGARWAL — AI ENGINEER
# ============================================================

class AnshulAgarwal:
    
    name        = "Anshul Agarwal"
    location    = "Bangalore, India 🇮🇳"
    education   = "B.Tech AI & ML — Sir MVIT (2022–2026)"
    
    languages   = ["Python", "Java", "C/C++", "SQL"]
    frameworks  = ["FastAPI", "Scikit-learn", "LangChain", "Hugging Face Transformers"]
    ai_stack    = ["LLM Agents", "RAG", "Tool Use", "NLP", "Agentic AI", "Embeddings"]
    databases   = ["MySQL", "MongoDB", "PostgreSQL"]
    cloud       = ["AWS", "Azure", "Linux"]
    
    currently   = "Building agentic AI systems for enterprise IT"
    learning    = ["Agentic AI", "Azure AI Services", "Vector DBs", "LangGraph"]
    
    
    def say_hi(self):
        print("Thanks for visiting! Let's build something intelligent.")

me = AnshulAgarwal()
me.say_hi()

◈ FEATURED SYSTEMS

🤖 DeskMate — Agentic IT Helpdesk

"An AI that doesn't just answer — it acts."

AI-powered IT helpdesk assistant . Uses a ReAct-style agentic loop with LLaMA 3.1 and function calling to handle multi-step IT queries end-to-end.

TOOLS DEPLOYED:
├── check_software_entitlement
├── create_ticket (with priority)
├── get_ticket_status
├── reset_password
├── get_user_profile
└── list_user_tickets

FastAPI Python Groq Agentic

📊 Customer Churn Analysis

"Find who's leaving before they do."

End-to-end ML pipeline for customer churn prediction. EDA → feature engineering → model training → business insights.

PIPELINE:
├── Data Cleaning & EDA
├── Feature Selection
├── ML Model (Sklearn)
└── Business Insights

Python Pandas Sklearn SQL

📄 Resume Screening System

"Let the machine do the shortlisting."

NLP-powered resume screening that matches candidates to job descriptions using TF-IDF and skill extraction.

SYSTEM:
├── NLP Text Extraction
├── TF-IDF Matching
├── Relevance Ranking
└── MongoDB Storage

Python NLP MongoDB

🛡️ RakshaKavach

"Safety, engineered."

Android safety application built with Kotlin for real-world personal security use cases.

FEATURES:
├── Real-time Alerts
├── Location Tracking
├── Emergency Contacts
└── Native Android UI

Kotlin Android

◈ TECH ARSENAL

◆ AI & MACHINE LEARNING

LLM Agents RAG Scikit-learn NLP Pandas NumPy

◆ LANGUAGES

Python Java C++ SQL Kotlin

◆ FRAMEWORKS & TOOLS

FastAPI Spring Boot React Docker Git

◆ CLOUD & DATABASES

AWS Azure MongoDB PostgreSQL Redis MySQL

◈ STATS TERMINAL

trophy

╔══════════════════════════════════════════════════════╗
║                                                      ║
║   "Build systems that think. Write code that lasts." ║
║                                                      ║
║         — Open to AI/ML internship opportunities —   ║
║                                                      ║
╚══════════════════════════════════════════════════════╝

LinkedIn Email

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  1. customer-churn-analysis customer-churn-analysis Public

    End-to-end customer churn analysis using SQL, Power BI, and Machine Learning

    Jupyter Notebook 1

  2. resume-screening-system resume-screening-system Public

    Machine Learning Project on Resume Screening using Python.

    Jupyter Notebook 1

  3. sales-data-analysis sales-data-analysis Public

    1

  4. deskmate deskmate Public

    AI-powered IT helpdesk assistant built with FastAPI, LLaMA 3.1, and agentic tool-use.

    Python 1

  5. RakshaKavach RakshaKavach Public

    Kotlin 1