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()| 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 |
π¬ Full Arsenal (click to expand)
Languages & Runtimes
AI/ML Frameworks & Tools
Infrastructure & DevOps
Data & Databases
- π§ͺ Fine-tuning open-source LLMs for domain-specific tasks
- ποΈ Building production-grade RAG systems with evaluation pipelines
- π€ Multi-agent orchestration frameworks
- β‘ Optimizing inference latency with quantization & speculative decoding
- π Writing about ML systems design & best practices
βββββββ βββββββ ββββββββββββ βββ βββββββββ βββββββ
ββββββββββββββββββββββββββββββ βββ ββββββββββββββββββ
βββ βββββββββββββββββ ββββββ βββ βββ βββ βββ
βββ ββββββββββ ββββββ ββββββββββ βββ βββ βββ
ββββββββββββ βββββββββββ ββββββ βββ βββββββββ
βββββββ βββ βββββββββββ βββββ βββ βββββββ
βββββββ βββββββ βββ βββ ββββββ βββββββ
ββββββββββββββββββββ βββ ββββββββββββββββ
βββ βββ ββββββ βββ ββββββββββββββββ
βββ βββ ββββββ βββ ββββββββββββββββ
ββββββββββββββββββββββββββββββββββββ βββββββββββ
βββββββ βββββββ βββββββββββββββββββ ββββββββββ
"Any sufficiently advanced AI is indistinguishable from magic." β Arthur C. Clarke (adapted)