class MuhammadTahirSundhu:
def __init__(self):
self.role = "Generative AI & ML Engineer"
self.focus = ["Agentic Workflows", "LLM Systems", "SaaS Platforms"]
self.education = "FAST-NUCES — CS (AI Specialization)"
self.languages = ["Python", "TypeScript", "Dart"]
self.building = "AI-powered SaaS products & autonomous agents"
self.ask_me = "LangGraph · RAG · FastAPI · Deepfake Prevention"
self.fun_fact = "I turn coffee ☕ into intelligent systems 🤖"
def greet(self):
return "Let's engineer the future together 🚀"
🧠 Generative AI & Orchestration
🔧 Backend & Data
🌐 Full-Stack SaaS
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AI-driven audio deepfake prevention + detection system. Adversarial ML models neutralize voice cloning in real-time, paired with a Flutter mobile app for proactive protection.
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Central agentic routing engine with a LangGraph orchestration pipeline supporting text/voice, local PC control, RAG via Pinecone, and async image generation.
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WhatsApp AI backend for clinical environments. FastAPI + Groq LLMs (Llama-3) + n8n integration with intelligent RAG pipeline for appointment handling & policy enforcement.
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Premium AI engineering agency SaaS with dynamic CMS, AI chatbot integration, and modular enterprise-grade architecture for agentic workflows.
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Deep learning research implementations: Neural Machine Translation, CycleGANs, Vision Transformers, Autoencoders — all in PyTorch.
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Scalable job-matching SaaS with robust backend architecture and seamless frontend integration built in TypeScript for intelligent talent discovery.
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⚙️ To activate the snake: Create a GitHub Action in your profile repo — see the setup guide.
⚡ "Architecting the AI future, one agent at a time." — Muhammad Tahir Sundhu