class YasaswiniChebolu:
def __init__(self):
self.name = "Yasaswini Chebolu"
self.role = "AI/ML Engineer & Open Source Contributor"
self.location = "Andhra Pradesh, India ๐ฎ๐ณ"
self.education = "B.Tech in CS & ML @ GVPCEW"
def current_focus(self):
return [
"๐ค Building AI-powered solutions for real-world impact",
"๐ Contributing to open source (GSSoC'25, Open Source Connect India)",
"๐ Machine Learning & Deep Learning projects",
"โ๏ธ Sustainable tech solutions (SOLAR-AI)",
"๐ Writing about AI/ML on Medium"
]
def achievements(self):
return {
"leadership": ["Harvard ALP Scholar", "McKinsey Forward Program", "ML Lead @ GDG"],
"competitions": ["NASA Space Apps Challenge Finalist (Top 105 Global)"],
"open_source": ["5+ merged PRs", "100+ students mentored"]
}| ๐ Leadership Programs | ๐ Recognition |
|---|---|
| ๐๏ธ Harvard ALP - Accelerated Leadership Program | ๐ NASA Space Apps Challenge - Global Finalist (Top 105) |
| ๐ผ McKinsey Forward Program - Strategic Development | ๐ GDG Solutions - Global Nominee |
| ๐ฅ ML Lead @ GDG On-Campus GVPCEW | ๐ฅ Open Source Connect India - NexFellow |
|
AI-powered rooftop solar potential assessment
Tech: |
AI for complex legal document interpretation
Tech: |
|
Data-driven sustainability for indigenous breeds
Tech: |
Volcanic monitoring through radar analysis
Tech: |
- ๐ค Conducted workshops for 100+ students on open-source best practices
- ๐ค Mentored contributors on live repositories and collaborative workflows
- โ 5+ merged PRs to production repositories improving code quality
- ๐ Enhanced documentation and streamlined development processes
+ Advanced RAG architectures
+ Vector databases & embeddings
+ Multi-modal AI systems |
+ MLOps & model deployment
+ Edge AI & optimization
+ Platform Engineering |
I'm always excited to collaborate on:
๐ค Open source ML/AI projects โข ๐ Innovative AI applications โข ๐ Sustainability-focused tech
๐ Research collaborations โข โ๏ธ Technical writing & knowledge sharing





