class BhupendraTale:
role = "AI Engineer · Agentic AI · LLM · MCP · RAG"
location = "Indore, India 🇮🇳"
focus = "Turning expert workflows into AI-native tools"
philosophy = "Find a real problem → build the smallest sharp tool → test it → ship it"
flagship = "AION — an operating system for AI agents"
shipped = "65+ open-source tools · all tested · open-core"- 🧠 Agent infrastructure — building AION, an OS for AI agents (capabilities, budgets, semantic memory, multi-agent IPC) — plus localmind (private local agent) and claude-commands.
- 🤖 Claude / LLM developer — MCP servers, RAG pipelines, tool-calling agents, and local models (Ollama / Gemma).
- 💼 AI for finance & IB — PE/VC waterfall math, DCF, cap-table exits, deal sourcing — runnable by chatting with Claude.
- 🎓 Strong fundamentals — rate limiters, probabilistic data structures, and a BM25 search engine, all from scratch.
- 🛡️ Security-minded — phishing detection, secret scanning, PII redaction.
- ⚡ I ship. Small, sharp, tested tools — built in public.
▲ AIONThe Agent Operating System — a kernel that schedules the resources agents actually burn: tokens, context & credits.
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A private AI agent on your machine — RAG over your own docs on a local model, sandboxed & budgeted on AION. $0/query.
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99 real, installable Claude Code slash commands — |
🖥️ dealdesk-mcpRun PE/VC deal math inside Claude — waterfalls, DCF, returns — by chatting. A full MCP server.
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🎣 phisheyeOffline, zero-dependency phishing-URL scanner — homograph, typosquat & DGA detection for blue teams.
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An inverted index + BM25 ranker — the Elasticsearch ranking algorithm, built from scratch.
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🧠 Agent Infrastructure (flagship)
- ▲ aion — an OS for AI agents: syscalls, semantic memory, capability sandbox, budgets, multi-agent IPC
- 🧠 localmind — private local agent, RAG over your docs, sandboxed on AION
- ⚡ claude-commands — 99 installable Claude Code slash commands
💰 Finance & Investment Banking
- 🖥️ dealdesk-mcp — run PE/VC deal math inside Claude (MCP)
- 🔍 investorlens-mcp — match a raise to the right Indian investors
- 💧 carryflow — distribution waterfall & carried-interest engine
- 📊 exitsim — cap-table & exit waterfall simulator
- 🇮🇳 india-dcf · india-comps · drhp-intel
🤖 AI / LLM
- ✦ shape — structured LLM output in one line
- 🔮 oracle — catch LLM hallucinations before users do
- 🚦 llm-router — route prompts to the cheapest capable model
- 🧠 semantic-cache — cache LLM responses by meaning
🎓 CS Fundamentals (zero-dependency, from scratch)
- ⚡ pyratelimit — 5 rate-limiting algorithms, thread-safe
- 🎲 sketchbox — Bloom filter · Count-Min Sketch · HyperLogLog
- 🔎 searchlite — inverted index + BM25 (the Elasticsearch ranker)
🛡️ Security
- 🎣 phisheye — offline phishing-URL scanner (homograph / typosquat / DGA)
- 🔑 gitsecrets — scan full git history for leaked secrets
- 🔒 headerguard — HTTP security-header scanner
- 🕵️ logphi — detect & redact PII/PHI in logs
🛠️ Developer Tools
- 🤖 releasebot — auto-generate changelogs from git
- ⚖️ clauseguard — red-flag linter for contracts
- 💸 subslayer — find forgotten subscriptions
- 🐌 n1detect — detect N+1 SQL queries · ⏰ cronguard — alert on failed cron jobs
🔭 Browse all 65+ repositories → github.com/bhupendra05?tab=repositories
I build AI-native tools and I'm always up for a sharp problem. Open to agentic-AI roles, collaborations, and freelance.
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