class ArushRai:
def __init__(self):
self.role = "B.Tech CSE Student"
self.focus = "Agentic AI / RAG / Distributed Systems"
self.building = "multi-agent systems with self-critique loops"
self.learning = "advanced system design & distributed systems"
def credentials(self):
return [
"Top 5% — NPTEL Cloud Computing",
"200+ problems solved — LeetCode & GeeksforGeeks"
]
|
The Dossier — Takes a company name, researches it live, drafts an Invest/Pass verdict, red-teams its own reasoning in an adversarial pass, then revises to a final call. Tracks past verdicts against real price movement.
|
Xeno — Enter a business goal — an agent analyzes customer data, builds Shopper DNA clusters, recommends and generates campaigns, launches them, and tracks callbacks live.
|
|
Doctel — Production RAG system with Parent-Document Retrieval for precision search without context truncation. Sub-second semantic search across multi-PDF corpora, zero-downtime inference across 4 cloud services.
|
Job-Jugad — NLP-powered resume-JD match scoring with missing-skill suggestions. MLOps-style CI/CD — Jenkins + GitHub Actions handle build, test, deploy on every commit, with live Prometheus/Grafana observability.
|