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mlbhushan/README.md

Typing SVG


> whoami

class AIEngineer:
    def __init__(self):
        self.name = "Milind Bhushan"
        self.role = "AI Engineer"
        self.languages = ["Python", "Java", "JavaScript", "TypeScript", "CUDA"]
        self.architecture = ["Transformers", "Diffusion Models", "RAG", "Multi-Agent Systems"]
        self.currently_building = "Production ML pipelines & LLM-powered applications"
        self.fun_fact = "I debug neural networks for fun"

    def __str__(self):
        return f"Turning caffeine into intelligent systems since 2020"

me = AIEngineer()

🐍 Contribution Snake

Snake animation


🧠 Core Competencies

Domain Technologies
LLM & GenAI GPT, Claude, LLaMA, Fine-tuning, RLHF, Prompt Engineering
ML/DL Frameworks PyTorch, TensorFlow, JAX, HuggingFace, LangChain
MLOps & Infra Kubernetes, Docker, MLflow, Weights & Biases, Ray
Data & Compute CUDA, PostgreSQL, MongoDB, Pinecone, SQL
Cloud & Deploy Azure ML, AWS SageMaker, GCP Vertex AI, Modal, Replicate
ML Tooling Jupyter, Pandas, NumPy, MLflow, W&B, OpenCV

⚑ Tech Stack

My Skills

πŸ”¬ Full Arsenal (click to expand)

Languages & Runtimes

Python Java JavaScript TypeScript CUDA

AI/ML Frameworks & Tools

PyTorch TensorFlow HuggingFace LangChain JAX scikit-learn Jupyter Pandas NumPy MLflow Weights & Biases OpenCV

Infrastructure & DevOps

Docker Kubernetes Azure Terraform GitHub Actions Linux

Data & Databases

PostgreSQL MongoDB Pinecone SQL


πŸ“Š GitHub Analytics

GitHub Streak


πŸ† GitHub Trophies

trophy


πŸ“ˆ Contribution Graph

Activity Graph


What I'm Working On

  • πŸ§ͺ Fine-tuning open-source LLMs for domain-specific tasks
  • πŸ—οΈ Building production-grade RAG systems with evaluation pipelines
  • πŸ€– Multi-agent orchestration frameworks
  • ⚑ Optimizing inference latency with quantization & speculative decoding
  • πŸ“ Writing about ML systems design & best practices

🀝 Connect

LinkedIn Twitter Email


 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ–ˆβ•—   β–ˆβ–ˆβ•—    β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— 
β–ˆβ–ˆβ•”β•β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•”β•β•β•β•β•β–ˆβ–ˆβ–ˆβ–ˆβ•—  β–ˆβ–ˆβ•‘    β•šβ•β•β–ˆβ–ˆβ•”β•β•β•β–ˆβ–ˆβ•”β•β•β•β–ˆβ–ˆβ•—
β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—  β–ˆβ–ˆβ•”β–ˆβ–ˆβ•— β–ˆβ–ˆβ•‘       β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘
β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β•β•β•β• β–ˆβ–ˆβ•”β•β•β•  β–ˆβ–ˆβ•‘β•šβ–ˆβ–ˆβ•—β–ˆβ–ˆβ•‘       β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘
β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ•‘ β•šβ–ˆβ–ˆβ–ˆβ–ˆβ•‘       β–ˆβ–ˆβ•‘   β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•
 β•šβ•β•β•β•β•β• β•šβ•β•     β•šβ•β•β•β•β•β•β•β•šβ•β•  β•šβ•β•β•β•       β•šβ•β•    β•šβ•β•β•β•β•β• 
 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ•—     β–ˆβ–ˆβ•—      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•— 
β–ˆβ–ˆβ•”β•β•β•β•β•β–ˆβ–ˆβ•”β•β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—
β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•
β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ•‘   β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ•‘     β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•‘β–ˆβ–ˆβ•”β•β•β–ˆβ–ˆβ•—
β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ•‘  β–ˆβ–ˆβ•‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•
 β•šβ•β•β•β•β•β• β•šβ•β•β•β•β•β• β•šβ•β•β•β•β•β•β•β•šβ•β•β•β•β•β•β•β•šβ•β•  β•šβ•β•β•šβ•β•β•β•β•β• 

"Any sufficiently advanced AI is indistinguishable from magic." β€” Arthur C. Clarke (adapted)

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