| Stat | Value |
|---|---|
| Name | Shivraj Patare |
| Class | AI / ML Engineer |
| Level | Master's Student (AI & ML) |
| Location | Pimpri, Maharashtra, India |
| HP | ∞ (Sustained by coffee ☕) |
| MP | Neural Networks & MLOps |
| Special Ability | Shipping scalable ML systems |
| Ultimate | End-to-end GenAI & MLOps delivery |
class ShivrajPatare:
def __init__(self):
self.name = "Shivraj Patare"
self.role = "AI/ML Engineer"
self.education = "Master's in AI & Machine Learning"
self.location = "Pimpri, Maharashtra, IN"
self.passion = "Turning AI research into production reality"
def current_focus(self):
return [
"Large Language Models & fine-tuning",
"Production ML systems & MLOps",
"Computer Vision applications",
"Real-time AI deployment"
]
def philosophy(self):
return "Code is poetry, but deployed ML is art."- 🔭 Current quest: Building production-ready LLM applications and exploring efficient fine-tuning (LoRA / QLoRA, RAG, vLLM)
- 🌱 Leveling up: Advanced MLOps, Kubernetes for ML, distributed training, observability
- 🎯 Target lock: NLP, Computer Vision, GenAI, MLOps-heavy products
- 💬 Ask me about: PyTorch, Transformers, ML system design, Docker, CI/CD, cloud deployment
- ⚡ Fun fact: Debugs neural networks more often than sleep cycles
🎯 Explore more projects on my GitHub Repositories
| Project | Description | Tech Stack | Status |
|---|---|---|---|
| 🌌 LLM Fine-tuner | Pipeline for fine-tuning LLMs with LoRA / QLoRA, ready for production deployment | PyTorch Transformers PEFT DeepSpeed |
🟢 |
| 👁️ Vision Analytics | Real-time object detection & tracking on edge devices with optimized inference | YOLOv8 OpenCV TensorRT FastAPI |
🟢 |
| 🤖 RAG Chatbot | Retrieval-augmented generation system with vector DB and UI | LangChain ChromaDB OpenAI Streamlit |
🟡 |
| 📊 ML Monitor | Monitoring and drift detection dashboard for ML models | MLflow Prometheus Grafana Docker |
🟡 |
| 🧠 Neural Style Transfer | API for artistic style transfer with caching and cloud deployment | TensorFlow FastAPI Redis AWS |
🟢 |
| Category | Skills | Proficiency |
|---|---|---|
| Machine Learning | PyTorch, TensorFlow, Scikit-learn, XGBoost | |
| Deep Learning | CNNs, Transformers, GANs, Autoencoders | |
| NLP | BERT, GPT, T5, RAG, fine-tuning | |
| Computer Vision | Detection, segmentation, OCR | |
| MLOps | Docker, Kubernetes, CI/CD, monitoring | |
| Cloud | AWS SageMaker, GCP Vertex AI, Azure ML | |
| Data Engineering | ETL, data pipelines, feature engineering |
- 🚀 Building a production-grade LLM inference server with vLLM
- 📚 Writing technical blogs on ML system design & GenAI
- 🎯 Contributing to open-source ML projects
- 🧪 Experimenting with multimodal models
- 💡 Mentoring aspiring ML engineers
Always open to collaborating on AI/ML products, research ideas, or MLOps-heavy systems.
Training models by day, dreaming of AGI by night. 🤖✨