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whoami

#!/usr/bin/env python3
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class Janani:
    """
    AI Engineer | LLM Specialist | GenAI Builder
    """

    def __init__(self):
        self.name         = "Janani V"
        self.degree       = "B.Tech — AI & Data Science '26"
        self.cgpa         = 8.05
        self.location     = "India 🇮🇳"
        self.pronouns     = "she/her"
        self.coffee_level = "☕☕☕ critical"

    @property
    def currently_building(self):
        return [
            "🤖 Real-time AI systems with LLMs",
            "🔧 Fine-tuned models via LoRA / QLoRA",
            "🔍 RAG pipelines & Agentic workflows",
            "🧪 Multimodal AI experiments",
        ]

    @property
    def currently_learning(self):
        return {
            "agents"      : ["LLM Agents", "Tool Calling", "Planning"],
            "multimodal"  : ["Vision + Language Fusion"],
            "vectordb"    : ["FAISS", "ChromaDB", "Pinecone"],
            "compression" : ["Quantization", "Model Pruning"],
            "frameworks"  : ["CrewAI", "AutoGen", "LangGraph"],
        }

    @property
    def achievements(self):
        return [
            "🔬 Patent Holder — AI Smart Helmet",
            "📖 Research Published — ICNGTS 2026",
        ]

    def contact(self) -> str:
        return "jananiviswa05@gmail.com"

    def __repr__(self) -> str:
        return "Code with passion. Build with purpose. 🚀"

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
me = Janani()
print(me)  # → Code with passion. Build with purpose. 🚀



Patent Research HuggingFace OpenSource

AI / ML Skill Matrix

Domain Proficiency Level
NLP & Text Intelligence ████████████████████ 95% 🔥 Expert
Computer Vision ███████████████████░ 92% 🔥 Expert
Generative AI & LLMs ██████████████████░░ 88% ⚡ Advanced
RAG & Knowledge Systems █████████████░░░░░░░ 68% ⚡ Advanced
Vector Databases █████████████░░░░░░░ 65% ⚡ Advanced
LLM Fine-Tuning (LoRA/QLoRA) ██████████░░░░░░░░░░ 50% 🌱 Building
Agentic AI & Multi-Agent ████████░░░░░░░░░░░░ 45% 🌱 Building 🔥
Model Compression & Quant ████████░░░░░░░░░░░░ 45% 🌱 Learning
LangChain & LangGraph ████████░░░░░░░░░░░░ 45% 🌱 Learning 🔥

Tech Stack

🧠 Core AI / ML

Python PyTorch TensorFlow HuggingFace scikit-learn OpenCV NumPy Pandas Matplotlib

🤖 LLM & GenAI Ecosystem

LangChain LangGraph Groq Ollama OpenAI Whisper FAISS ChromaDB Pinecone NLTK SpaCy PEFT BitsAndBytes

⚙️ Backend, Infra & Dev

FastAPI Docker MySQL Git GitHub Actions Streamlit Google Colab Jupyter VS Code

📡 AI Learning Journey — Currently Transmitting 🔥

RAG

Agents

Multimodal

VectorDB

Compression

Frameworks

LangChain

GitHub Stats

 



📈 Contribution Activity

Activity Graph

🐍 Contribution Snake

github contribution grid snake animation

💡 LeetCode

LeetCode Stats

🤗 Hugging Face — Janani-V

HuggingFace


🔧 Fine-tuned LLMs with LoRA & QLoRA — parameter-efficient training on open-source models
🧪 Experiments spanning NLP, GenAI, LLM evaluation — tracked, versioned, reproducible
📦 Model cards with detailed training configs, hyperparameters & benchmarks
🤝 Open to collaborations on model fine-tuning, research & AI systems

💬 "Where my models live rent-free." 🏠

🎯 2026 Goals

Goal Status
🚀 Ship 3+ production-ready AI systems
📖 Publish 2nd research paper
🤖 Master multi-agent LLM frameworks
🔧 Build & open-source a RAG framework
🎓 Land an AI/ML engineering Job
Contribute to top open-source AI repos
🧠 Train a model from scratch (not just fine-tune)

💬 Quote I Live By


❝ The models that change the world aren't the ones with the most parameters —

they're the ones built by people who refuse to stop. ❞


Janani V  ·  probably at 2 AM debugging a fine-tune 🌙


🤝 Let's Connect & Build

Open to AI research collaborations, internships & building impactful things in the LLM / GenAI space.


LinkedIn Email HuggingFace X


╔══════════════════════════════════════════════════════════╗
║                                                          ║
║   "The best way to predict the future is to build it."   ║
║                                          — Alan Kay      ║
║                                                          ║
╚══════════════════════════════════════════════════════════╝

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