from dataclasses import dataclass, field
@dataclass
class GenAIEngineer:
name: str = "Swarnava Bhattacharjee"
role: str = "GenAI Research Engineer"
location: str = "Kolkata, India"
current_focus: list[str] = field(default_factory=lambda: [
"Multi-Agent Systems", "AI-Powered UI/UX", "Autonomous Pipelines"
])
expertise: list[str] = field(default_factory=lambda: [
"LLM Fine-tuning", "RAG Systems", "Prompt Engineering"
])
achievements: list[str] = field(default_factory=lambda: [
"🌌 Harvard IACS - NASA ADS & Smithsonian",
"🏆 Geoffrey Hinton Fellow at Univ.AI",
"🚀 GenAI Engineer at Instel LLC"
])
def say_hi(self) -> None:
print(f"Thanks for dropping by! Let's build something amazing with AI 🚀")
# Initialize
me = GenAIEngineer()
me.say_hi()|
Multi-Agent System Design |
LLM Fine-tuning & Optimization |
Harvard IACS · NASA ADS · Harvard Smithsonian — AI-powered platform for public outreach.
Harvard IACS · NASA ADS · Harvard Smithsonian — RAG system optimizing astronomy paper titles.
-
Identity-Preserved Facial Diversity With GANs and Recognition Via Fewshot Approach
- 2024 17th International Conference on Development in eSystem Engineering (DeSE)
-
Facial Identity Recognition using StyleGAN3 Inversion and Improved Tiny YOLOv7 Model
- Scientific Reports, Nature (2025)
⚡ Fun fact: AI is fun when you're building with the right tools! 😅



