class Pushkar:
def __init__(self):
self.role = "Final-Year CS (AI & ML) Engineer"
self.focus = ["Multi-Agent Systems", "RAG", "Distributed Backends", "Full-Stack"]
self.flagship = "ArthAI β Multi-Agent B2B Lead Generation Platform"
self.currently_learning = ["Distributed Systems", "System Design", "Kubernetes"]
self.looking_for = "AI-first / Full-Stack Internships @ Startups & Product Companies"
def say_hi(self):
return "Let's build something that thinks π§ β‘"- π§ Building ArthAI, a multi-agent B2B lead-generation platform β actively deployed and evolving in production
- ποΈ Built MockMind, an AI voice interview platform powered by LangGraph state machines
- βοΈ Full-stack across React/Next.js, Node.js/FastAPI, Postgres/Mongo, and LLM-driven agent workflows
- π Deep-diving into Distributed Systems, System Design, Backend Scalability & Kubernetes
- π 165+ LeetCode problems solved
π§ ArthAIMulti-Agent B2B Lead Generation Platform My flagship, production-deployed project β specialized AI agents research, qualify, and score leads end-to-end.
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AI Voice Interview Platform Voice-based AI interviewer running behavioral, technical, system-design, and HR flows in real time.
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π SpecForgeAI Technical Specification Platform Turns GitHub repos or plain-language ideas into structured technical specs.
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Real-Time Expert Booking Platform Experts define event types, clients book sessions with live availability.
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