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jibitesh-auth/README.md

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PROFESSIONAL_SUMMARY

STATEMENT: Computer Science undergraduate with interests in Software Engineering, Artificial Intelligence, and Aerospace Technology. Passionate about designing reliable software, understanding intelligent systems, and applying engineering principles to real-world challenges.

TECHNICAL_OBJECTIVES

  • Algorithms & Problem Solving: Strengthening foundations in Data Structures, Algorithms, and complexity analysis through consistent practice.
  • Artificial Intelligence: Exploring machine learning, generative AI, multimodal systems, and real-world AI applications.
  • Software Engineering: Building reliable, maintainable software while learning system design, clean architecture, and engineering best practices.

ENGINEERING_METHODOLOGY (SDLC)

Standardized approach to software development, ensuring rigorous quality control and maintainability.

graph LR
    A["Analysis & Research"] --> B["System Design"]
    B --> C["Modular Implementation"]
    C --> D["Testing & Validation"]
    D --> E["Deployment & Monitoring"]
    style A fill:#1a1a1a,stroke:#00F2FF,color:#fff
    style B fill:#1a1a1a,stroke:#00F2FF,color:#fff
    style C fill:#1a1a1a,stroke:#00F2FF,color:#fff
    style D fill:#1a1a1a,stroke:#00F2FF,color:#fff
    style E fill:#1a1a1a,stroke:#00F2FF,color:#fff
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TECHNICAL_STACK_&_INSTRUMENTATION

CORE_LANGUAGES

C++ Python

AI_&_ML

TensorFlow Scikit-Learn NumPy Pandas

CS_FUNDAMENTALS

DSA OOP OS DBMS

TOOLS

Git GitHub Linux

FEATURED_PROJECT: GemmaX ChatCore

Multimodal Framework for Advanced AI Inference & Experimentation

graph LR

A([User])
--> B[GemmaX ChatCore]

B --> C[Text Chat]
B --> D[Image Understanding]
B --> E[Function Calling]

C --> F{Inference Engine}
D --> F
E --> F

F --> G[Cloud Models]
F --> H[Local Models]

G --> I([AI Response])
H --> I

style B fill:#1a1a1a,stroke:#00F2FF,color:#fff
style F fill:#1a1a1a,stroke:#00F2FF,color:#fff
Loading

Technical Implementation Details

  • Hybrid Inference: Supports both cloud-hosted and local model execution through a unified workflow.
  • Multimodal Interaction: Processes text prompts and image inputs within a single conversational interface.
  • Conversation Memory: Maintains chat history to enable context-aware multi-turn interactions.

TECHNOLOGIES: Python Gemma JAX Keras Hub Google GenAI API

Source Repository →


SYSTEM_METRICS

GitHub Stats

GitHub Streak


CONTRIBUTION_TIMELINE

Contribution Snake Animation

"When you look at the stars and the galaxy, you feel that you are not just from any particular piece of land, but from the solar system."
— Kalpana Chawla

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  1. GemmaX_ChatCore GemmaX_ChatCore Public

    Multimodal AI platform powered by Gemma for text, image understanding, function calling, local inference, and agentic workflows.

    Jupyter Notebook 2

  2. jibitesh-auth jibitesh-auth Public

    CSS