class DhruvPatel:
def __init__(self):
self.name = "Dhruv Patel"
self.role = "Senior Backend & DevOps Engineer"
self.location = "Ahmedabad, India 🇮🇳"
self.education = "M.Tech – NIT Jalandhar (2022)"
self.experience = "5+ years"
@property
def current_focus(self):
return [
"🔥 Building end-to-end MLOps pipelines with QLoRA fine-tuning",
"🤖 Building RAG pipelines with LangChain & LangGraph",
"☁️ Architecting cloud-native systems on AWS EKS",
"🔁 Automating CI/CD with GitHub Actions & ArgoCD",
"🧠 Exploring LLM fine-tuning & agentic AI workflows",
]
@property
def fun_fact(self):
return "I fine-tune LLMs on free GPUs and turn natural language into SQL 🚀"
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Backend Engineering ████████████████████ 95%
Generative AI / LLM █████████████████░░░ 85%
MLOps & LLM Fine-tuning ███████████████░░░░░ 75%
Cloud & DevOps ████████████████░░░░ 80%
Database Design ███████████████░░░░░ 75%
Frontend (React) ████████████░░░░░░░░ 60%
| Category | Skills |
|---|---|
| 🐍 Programming | Python, SQL, Bash |
| ⚙️ Backend | FastAPI, Django, REST APIs, WebSockets |
| 🤖 Generative AI | LangChain, LangGraph, RAG, OpenAI, Embeddings, Vector DBs |
| 🔥 MLOps & Fine-tuning | QLoRA, PEFT/LoRA, MLflow, DVC, HuggingFace, PyTorch, TRL |
| 🗄️ Databases | PostgreSQL, MySQL, MongoDB, Redis |
| ☁️ Cloud | AWS (EKS, EC2, S3, RDS), Azure |
| 🔧 DevOps | Docker, Kubernetes, Terraform, Helm, ArgoCD, GitHub Actions |
| 📡 Messaging | RabbitMQ, Celery |
| 📊 Observability | Prometheus, Grafana, FluentBit, OpenObserve |
| 🔭 Exploring | 💡 Deep-Diving | 🎯 Goals 2025 |
|---|---|---|
| LLM Fine-tuning (QLoRA) | Agentic AI Workflows | Open-source AI contribution |
| LlamaIndex | Multi-modal RAG | AWS Solutions Architect cert |
| Rust for performance | eBPF & observability | Write technical blog posts |
