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ravin-d-27/README.md

Ravin D - The Code Artist

Full Stack DevML EngineerSystem DesignerOpen Source Enthusiast

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Profile Views GitHub followers


Quick Stats & Highlights

Focus Areas Current Vibe Next Level
Full Stack Development Building Agentic AI systems AI/ML Integration
LLM Fine Tuning Deep Learning models System Architecture
Data Engineering Cloud-native solutions Open Source Impact

Tech Arsenal

Core Languages (Click to expand)
languages = {
    "expert": ["Python", "JavaScript", "Java", "C#"],
    "proficient": ["SQL", "HTML/CSS", "TypeScript"],
    "experience_years": "5+",
    "lines_of_code": "100,000+"
}
Frameworks & Libraries (The Real MVPs)

Backend Powerhouse

Frontend Magic

AI/ML Toolkit


pandas scikit_learn seaborn
Cloud & DevOps (Scaling to Infinity)

Deployment Philosophy: Code → Test → Deploy → Scale → Repeat

Databases & Analytics (Data is the New Oil)

Analytics Stack: PowerBI • Tableau • Advanced SQL • ETL Pipelines


Specializations

graph TD
    A[Ravin's Tech Universe] --> B[Full Stack Development]
    A --> C[AI/ML Engineering]
    A --> D[Data Engineering]
    A --> E[🏗System Architecture]
    
    B --> B1[React/Next.js Frontend]
    B --> B2[Django/FastAPI Backend]
    B --> B3[RESTful API Design]
    
    C --> C1[LLM Fine Tuning]
    C --> C2[Deep Learning Models]
    C --> C3[Computer Vision]
    
    D --> D1[ETL Pipelines]
    D --> D2[Data Mining]
    D --> D3[Real-time Analytics]
    
    E --> E1[Microservices]
    E --> E2[Cloud Architecture]
    E --> E3[Performance Optimization]
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Achievement Gallery

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Certifications & Badges

Microsoft LearnGoogle CloudAWS Academy GraduateHackerRank Problem Solver

Holopin Board


GitHub Analytics


Let's Connect & Build Something Epic

Twitter LinkedIn Kaggle CodeChef HackerRank

Fuel My Code Addiction

Buy Me A Coffee


Developer Philosophy

"Code is poetry written in logic, debugged with patience, and deployed with hope."

Currently: Building the next generation of AI-powered applications
Always: Learning, coding, and pushing the boundaries of what's possible
Goal: Making technology more accessible and impactful for everyone


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  1. PyDeepFlow PyDeepFlow Public

    This is my own Deep Learning Package, optimized for performing Deep Learning Tasks and easy to learn and integrate into projects.

    Python 31 34

  2. Commandor Commandor Public

    Your Daily AI terminal

    Python 4 3

  3. File_Transfer_Server File_Transfer_Server Public

    This is a file transfer server where you can upload and download any of your files for your use!

    JavaScript 3

  4. Data_Archiving_and_Purging Data_Archiving_and_Purging Public

    This repositories contains the SQL Scripts which is used for Data Archiving and Purging in SQL Server

    TSQL 4 2

  5. Lunar_Lander_Using_Deep_Q_Learning Lunar_Lander_Using_Deep_Q_Learning Public

    This contains the implementation of Lunar Lander using Deep Q Learning which is implemented in Pytorch.

    Python 4

  6. Rock-Paper-Scissors-Classifier Rock-Paper-Scissors-Classifier Public

    This is a computer vision project which is integrated with Machine Learning model which is to classify Rock, paper and scissors. The input data is given form our hand and it is collected and run fr…

    Python 4