const achuth = {
role: "Data Science Intern @ AB InBev GCC India 🍺",
identity: "Final-Year Undergrad → Industry",
obsession: "The math & philosophy behind why neural networks actually work",
currentArc: {
atWork: "Solving real-world DS problems at scale @ AB InBev",
afterHours: "Agentic AI • Applied Sciences • DL from first principles",
rabbit_hole: "Why does backprop converge? What is intelligence, really?"
},
stack: ["Python", "PyTorch", "LangGraph", "FastAPI", "React", "Next.js", "FAISS", "AWS"],
weapons: ["RAG Pipelines", "Agentic Workflows", "Vector Search", "LLM Orchestration"],
askMeAbout: ["AI/ML", "Agentic Systems", "Full-Stack", "The beauty of gradient descent"],
philosophy: "Understand the 'why' before the 'how' — math is the language, code is the dialect",
reachMe: "achuthganesh09@gmail.com"
};
- 🍺 Currently a Data Science Intern @ AB InBev GCC India
- 🧠 Deep diving into Agentic AI, Applied Sciences & DL theory
- 📐 Fascinated by the math behind loss landscapes, attention, & optimization
- 🤖 Building autonomous AI agents that reason, plan, and act
- 🔬 Philosophy: "A model is only as good as your understanding of it"
- 💬 Ask me about AI/ML, Full-Stack, or why transformers changed everything
- 🎯 Mission: Bridge the gap between AI theory and real-world impact
"The purpose of computing is insight, not numbers." — Richard Hamming
"A breakthrough in machine learning would be worth ten Microsofts." — Bill Gates
