#!/usr/bin/env python3
# -*- coding: utf-8 -*-

class SanyamGarg:
    """
    An AI/ML Engineer who ships real things, breaks things fast,
    and documents the wreckage on GitHub.
    """

    def __init__(self):
        self.name        = "Sanyam Garg"
        self.role        = ["AI/ML Engineer", "Computer Vision Dev",
                            "Quant Researcher", "Full-Stack Builder"]
        self.education   = "B.Tech CS (AI/ML Specialization) — Final Year 🎓"
        self.location    = "India 🇮🇳"
        self.hardware    = "NVIDIA A100 SXM4 80GB @ GI Ventures 🔥"

        self.currently_building = {
            "🏥 InboxIQ AI"   : "Smart Gmail classifier — Chrome Ext + FastAPI + Next.js + AI pipeline",
            "🌱 PlantDoc CNN" : "Plant disease detection, 90%+ val accuracy, 38 classes, Gradio + LangChain",
            "📈 AlphaResearch": "WorldQuant BRAIN quant alpha, Fitness 1.52, targeting Gold (10k pts)",
        }

        self.stack = {
            "AI / ML"      : ["PyTorch", "OpenCV", "Scikit-Learn", "HuggingFace", "Keras"],
            "LLM / Agents" : ["LangChain", "Claude API", "Groq", "OpenAI", "LLaMA", "Gradio"],
            "Backend"      : ["FastAPI", "Flask", "Python 3.11"],
            "Frontend"     : ["Next.js", "React", "Tailwind CSS", "TypeScript"],
            "Data"         : ["Pandas", "NumPy", "yfinance", "vectorbt"],
            "DevOps"       : ["Docker", "GitHub Actions", "AWS", "GCP", "Render", "Heroku"],
            "Languages"    : ["Python", "C++", "C", "JavaScript", "TypeScript"],
        }

        self.achievements = [
            "🥇 Top 20% — WorldQuant International Quant Championship 2026 Stage 1",
            "⚡ Computer Vision Intern @ GI Ventures — NVIDIA A100 cluster",
            "🌿 PlantDoc CNN — 90%+ accuracy on PlantVillage (38 disease classes, PyTorch)",
            "🎨 Artify — Neural Style Transfer app (VGG19, Docker, deployed on Render)",
            "🤖 InboxIQ AI — Full SaaS: Chrome Ext + Next.js + FastAPI + Gmail API",
            "📚 Polaris Fellowship Applicant — AI Second Brain & Knowledge Graph project",
            "💼 Blueberry Travels — Running travel biz w/ WhatsApp + Instagram automation",
        ]

        self.fun_fact = "I trained a CNN to detect leaf diseases at 90%+ accuracy... for fun. 🌿"
        self.motto    = "Build fast. Break things. Ship it. 🚀"

    def get_contact(self) -> dict:
        return {
            "email"    : "gargsanyam217@gmail.com",
            "linkedin" : "linkedin.com/in/sanyam-garg-13598320b",
            "portfolio": "Sanyam0101.me",
        }

    def __repr__(self) -> str:
        return f"<SanyamGarg | {len(self.achievements)} achievements & counting 🔥>"

if __name__ == "__main__":
    me = SanyamGarg()
    print(me)
    # Output: <SanyamGarg | 7 achievements & counting 🔥>