"Building Enterprise AI Systems, one redesign at a time." 🚀

Welcome to my corner of GitHub!

I'm an AI Engineer at PricewaterhouseCoopers (PwC) focused on building production-ready AI systems, scalable backend services, and intelligent applications that solve real-world problems.

I enjoy working at the intersection of Artificial Intelligence, Software Engineering, and Cloud Infrastructure — transforming ideas into reliable systems that create real impact.

When I'm not building AI systems, I'm probably experimenting with a new framework, breaking something, and then figuring out why it broke. ☕

• Enterprise AI Applications
• LLM-powered Systems & AI Agents
• Retrieval-Augmented Generation (RAG) Applications
• Real-time Speech AI & Voice Intelligence Pipelines
• High-performance Python Backend Services
• Cloud-native AI Applications
• Computer Vision Solutions
• AI-powered Security & Automation Systems
• Machine Learning Systems from experimentation to production

• Large Language Models (LLMs)
• Prompt Engineering
• AI Agent Development
• Retrieval-Augmented Generation
• Speech AI Systems
• Computer Vision
• Machine Learning Pipelines

• Async Python Services
• REST APIs
• Database Design
• Authentication Systems
• Scalable Backend Architecture

• Cloud-native Applications
• GPU-based AI Workloads
• AI Model Deployment
• Containerized Systems

The journey never ends 🚀

• Distributed Computing & Distributed Systems
• Large-scale AI System Design
• High-performance Model Serving
• Real-time Distributed Applications
• Enterprise AI Architecture Patterns

• Building LLM-powered applications
• AI Agents & RAG systems
• FastAPI backend architecture
• Speech AI pipelines
• Cloud deployment for AI workloads
• GPU infrastructure for AI inference
• Taking AI prototypes into production

class Yash:
    def __init__(self):
        self.role = "AI Engineer @ PwC"

        self.skills = [
            "Artificial Intelligence",
            "Backend Engineering",
            "LLMs",
            "Cloud Infrastructure",
            "Machine Learning"
        ]

        self.currently_learning = [
            "Distributed Systems",
            "AI Infrastructure",
            "Scalable Architectures",
            "Advanced System Design"
        ]

        self.superpower = "Turning coffee into code ☕"

    def debug(self):
        return "It works on my machine 🚀"

If you find something interesting, feel free to ⭐ a repository or connect with me.

Happy Coding! 🚀