class Me:
name = "Your Name"
role = "Data Scientist & Full-Stack Developer"
location = "Pune, Maharashtra ๐ฎ๐ณ"
interests = ["Machine Learning", "Backend Engineering",
"Open Source", "Research"]
currently = "Building tools that make data useful"
def say_hi(self):
print("Thanks for stopping by! Let's build something great.")- ๐ญ Currently working on [Your Active Project] โ solving real problems with clean code
- ๐ฑ Learning MLOps, System Design & LLM fine-tuning
- ๐ฏ Open to collaborate on open-source data science & dev tools
- ๐ฌ Ask me about Python, Data Pipelines, APIs, and all things backend
- โก Fun fact: I debug better with coffee โ and lo-fi music ๐ต
| Project | Description | Stack | Links |
|---|---|---|---|
| ๐ฅ [Project-1] | [One compelling sentence about what it does and who it helps] | Python ยท FastAPI ยท Pandas | Repo |
| ๐ [TDS-Project-2] | [One compelling sentence about what it does and who it helps] | Python ยท ML ยท Jupyter | Repo |
| โก [latency-endpoint] | High-performance API endpoint benchmarking & latency optimization tool | Python ยท Flask ยท Docker | Repo |
| ๐ [eshopco-latency-endpoint] | E-commerce backend latency monitoring with real-time metrics | Python ยท FastAPI | Repo |
๐ก I ship projects that solve real problems โ clean architecture, solid docs, and production-ready code.
๐ค MLOps & Model Deployment โโโโโโโโโโโโ 65%
๐๏ธ System Design โโโโโโโโโโโโ 50%
๐ LLM Fine-tuning & RAG โโโโโโโโโโโโ 35%
โ๏ธ Cloud Architecture (AWS/GCP) โโโโโโโโโโโโ 25%


