name        : Shubh Gupta
alias       : titanShubh
college     : IET Lucknow, B.Tech CSE (2023–2027)
focus       : ["GenAI Engineering", "Multi-Agent Orchestration", "SDE", "Competitive Programming"]
building    : Multi-agent AI systems, RAG pipelines, LLM-powered apps
ask_me_about: ["LangChain", "LangGraph", "RAG", "Vector DBs", "DSA", "System Design"]
reach_me_at : [LinkedIn, LeetCode, Codeforces, CodeChef, AtCoder]
fun_fact    : "I treat every CP problem like a production bug 🐛"
status      : "Actively seeking GenAI & SDE internships/roles 🚀"

Platform	Profile	Rating & Level
	titan_2	🔵 Expert (1794)
	guptashubh6386	🟡 Guardian (2245)
	shubh_titan	🔶 5-Star
	unknown_AC	🔵 2 Kyu Blue (1617)

Solved 2500+ algorithmic problems across platforms

• 🏆 Global Rank 38 in CodeChef Starters 169 (Rated, Division 2)
• 🏆 Global Rank 199 in Codeforces Round 1029 (Div. 3)
• 🏆 Global Rank 358 in LeetCode Weekly Contest 422 (26,000+ participants)
• 🏆 Global Rank 2881 in Meta Hacker Cup 2024 (20,000+ participants globally)

Architected a stateful multi-agent system utilizing LangGraph and LangChain.

• Deployed a central Supervisor Agent that dynamically routes queries across seven specialized nodes (Problem Analyzer, Complexity Analyzer, Learning Memory, etc.).
• Engineered an asynchronous FastAPI backend using SQLModel and Server-Sent Events (SSE) to stream structured reasoning logs with sub-100ms latency.
• Configured Qdrant Cloud Vector Database for semantic problem retrieval integrated with PostgreSQL for persistent tracking.

A high-performance stateful multi-agent system designed for automated query routing.

• Utilized LangGraph to analyze query intent and orchestrate execution across specialized SQL, RAG, and Python Pandas nodes.
• Built a secure, self-healing SQL executor using SQLAlchemy 2.0 with an AST-based validator to prevent injections.
• Built a spreadsheet analytics sandbox utilizing Pandas and Plotly to render statistical charts dynamically.

A multi-threaded port scanner and real-time vulnerability analysis engine.

• Engineered a socket-level host discovery engine using ThreadPoolExecutor in Python.
• Implemented bidirectional WebSockets communication to stream live scan telemetry and latencies to a React dashboard.
• Containerized the application stack (FastAPI, Nginx, SQLite, React) using Docker Compose.

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