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ITrustNumbers/README.md

Hey there! I'm Yash Chauhan

AI Engineer @ PwC | Building Enterprise AI Systems

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"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. ☕


🛠️What I Build

  • 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

What I Work With

💻 Languages

Python TypeScript JavaScript SQL

🤖 Artificial Intelligence

OpenAI PyTorch TensorFlow scikit-learn

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

⚡ Backend Engineering

FastAPI PostgreSQL Redis

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

☁️ Cloud & Infrastructure

AWS Azure Docker Linux

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

🌱 Currently Exploring

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

💬 Ask Me About

  • 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

📊 GitHub Stats

🧠 Developer.exe

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 🚀"

Thanks for stopping by!

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

Happy Coding! 🚀

Pinned Loading

  1. Music_Genre_Classification_By_Model_Ensembling_Approach Music_Genre_Classification_By_Model_Ensembling_Approach Public

    This Project is my attempt at solving the music genre classification or MGR problem. I have used a model ensembling approach by bagging together the weighted prediction probabilities of three diffe…

    Python

  2. Employee_Attrition_TableauDashboard Employee_Attrition_TableauDashboard Public

    A Repository for the Tableau Dashboard I created for Monitoring Employee Attrition

  3. Indian_Coin_Classification_Using_CNN Indian_Coin_Classification_Using_CNN Public

    This repository is part of a research study in which, A convolution neural network(CNN) is developed from scratch for the classification of Indian coins by their denomination. The final train accur…

    Jupyter Notebook 1 1

  4. Sales_Overview_TableauDashboard Sales_Overview_TableauDashboard Public

    A Repository for the Sales Overview Dashboard that I created for a fictional store, using the superstore dataset

  5. Machine_Learning_Algorithms_from_Scratch Machine_Learning_Algorithms_from_Scratch Public

    Machine Learning Algorithms from Scratch. Explanation of the mathematics behind various ML Algorithms coupled with a Numpy only Implementation of the models. The Aim is to Demystify everything from…

    Jupyter Notebook 3

  6. Advance_Regression_Model_Stacking_Kaggle Advance_Regression_Model_Stacking_Kaggle Public

    This Project is my Entry to a Kaggle Competition 'House Prices: Advanced Regression Techniques'. The aim was to rank in the Top 5% in the Leaderboard, I achieved this rank by Using Model Stacking w…

    Jupyter Notebook 1 1