Bhaskar Pandey
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Bhaskar Pandey, AI & Automation Solutions Engineer

AI & Automation Solutions Engineer

Google Certified Generative AI Leader

Bhaskar Pandey, listening for the next question

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Use this terminal to ask Bhaskar about his published work and experience and get LIVE answers.It uses a RAG to retrieve, augment and generate responses from BrainVault - his digital "Second Brain"

I design and build AI and automation systems on more than a decade of enterprise network and security engineering. I solo-built and launched LearnStack OS, an AI learning platform with 34 active members; a retrieval-augmented knowledge system; and Agent-Team, a multi-agent delivery toolchain. Claude Code and Codex are my primary development environments. Agent-Team is the orchestration harness I built to run that work, including this site. I give it a goal, it breaks the goal into small bounded pieces, and each piece goes to a specialist agent (orchestrator, developer, code reviewer, or visual reviewer) tied to a model and reasoning-effort level that fits the task. Each agent works in its own Git worktree under file-ownership rules, so two agents never step on the same file. Work gets reviewed and fixed until it clears the acceptance gates, then a final reconciliation pass merges everything. Runs can pause and resume, keep recovery evidence, fire lifecycle hooks, and fail closed when a policy check fails. Ask me anything about my work in full sentences or pick a question from below: 1. Tell me about LearnStack OS 2. What's your experience with Claude and ChatGPT? 3. What's your experience with front-end design?

Project Showcase

Systems where the engineering is the product.

LearnStack OS

AI learning platform

A retrieval-backed learning platform, designed and built end to end.

Open case study

Real Estate Closing Document Automation

Private client engagement

A ten-stage document workflow with deterministic safeguards.

Open case study

Agent-Team

AI-native delivery system

A controlled multi-agent software delivery system, licensed to LearnStack OS members.

Open case study
Hand-drawn triage funnel sending T3, T2 and T1 worktree lanes through review to main.

lanes

Open-source orchestration skill

A Claude Code skill that routes parallel git-worktree tasks to the right model while keeping every review gate.

Open case study

Project Kickoff

AI-native planning system

Turns an idea into approved product specifications and an implementation plan.

Open case study

Builders Land Source

Internal research platform

A data and research system for land acquisition workflows.

Open case study

BrainVault

Private knowledge platform

A retrieval-augmented system with a privacy-first data boundary.

Open case study

AlmoraBots

In-development bot team

Mason, Parker, and Maya use deployed, task-scoped MCP servers for real estate and small-business work.

Open case study

Write Like a Human

Writing skill for Claude Code and ChatGPT

Writes or rewrites text so it reads like a specific person, not a language model.

Open case study

Session Detail

Session archive skill

Records a working session as a structured archive instead of a lossy summary.

Open case study

Context Summary

Handoff skill

Compresses a long conversation into a fixed seven-block handoff for the next session.

Open case study

Sensible Mode

Assistant operating profile

Turns an assistant into a blunt consultant for the length of a session.

Open case study

Is This a Good Idea

Idea evaluation skill

Runs an idea through hard gates and a weighted scorecard to one verdict.

Open case study

Android Desktop Linux

Open knowledge base

A vendor-neutral guide to running desktop Linux on Android phones.

Open case study
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For recruiters and hiring managers

Where the role meets the work.

Role names vary. These examples show the implementation, delivery, and leadership evidence behind my AI and automation work.

AI engineer & AI implementation engineer

I build systems with large language models (LLMs), retrieval, and explicit data boundaries. LearnStack OS connects a content corpus to placement and learning paths; BrainVault uses OpenAI embeddings and pgvector for semantic search.

Explore LearnStack OS →Explore BrainVault →

AI-forward engineer

Claude Code and Codex are part of my spec-driven development practice. I built Agent-Team to orchestrate specialist AI agents through isolated work, independent review, and acceptance gates.

Explore Agent-Team →

Automation engineer

I mapped a client document process into ten stages from secure intake to attorney review and delivery. Deterministic rules and approved templates govern consequential output.

Explore the workflow →

Generative AI leader

My Google Cloud Generative AI Leader certification accompanies hands-on AI product architecture and earlier enterprise engineering team leadership.

Read the résumé →

Experience that crosses boundaries.

Product judgment, technical depth, and accountable delivery in the same room.

  1. Almora Technology

    Founder & Solutions Engineer

    Independent AI and automation consulting, with discovery, architecture, threat modeling, implementation, and handoff.

  2. World Wide Technology

    Senior Engineer

    Client-facing network and security delivery across requirements, solution design, cutover, and on-call operations.

  3. Epicor Software

    Senior Network Engineer · Team Lead

    Led perimeter access control and change management for a global data-center environment.

  4. Rackspace

    Network Security Engineer

    Customer solution design, implementation, compliance-conscious security engineering, and live incident response.

  5. San Antonio Water System

    Network Systems Engineer

    Supported routing, switching, wireless, radio networking, and operational monitoring systems.

Skills.

AI engineering first, on a long-running foundation in enterprise security and delivery.

AI & Automation 15

  • Prompt engineering
  • Harness engineering
  • Graphs & loops
  • Agent context & memory engineering
  • MCP server & API creation
  • Multi-agent orchestration
  • Advanced knowledge of Anthropic & OpenAI models
  • Multi-modal agent experience
  • Custom AI agent deployment · Hermes Agent & n8n
  • Model & reasoning-effort routing
  • Structured extraction with schema validation
  • Human-in-the-loop workflow design
  • Prompt-injection defense
  • Grounded retrieval · pgvector
  • AI-assisted development · Claude Code & Codex

Frontend Design 7

  • Next.js App Router
  • React
  • TypeScript
  • Product definition & information architecture
  • Visual design & user-facing copy
  • Docusaurus documentation sites
  • Playwright & Vitest testing

Backend Infrastructure 11

  • PostgreSQL · Neon & Supabase
  • Drizzle ORM & migrations
  • Upstash Redis
  • Better Auth · sessions & typed permissions
  • Vercel · Blob, Workflow, hosting
  • GitHub Actions CI/CD & secret scanning
  • Ubuntu Server, systemd & Tailscale
  • Threat modeling & fail-closed authorization
  • Enterprise network security · Cisco, Palo Alto, F5
  • PCI-DSS & HIPAA compliance
  • Delivery leadership · client engagements & on-call operations

Applied AI engineering

RAG and MCP systems, built to run.

I connect trusted content to useful workflows through retrieval, then give agents narrowly scoped tools through Model Context Protocol (MCP) servers.

01 / Retrieval

Retrieval-augmented generation

Learning platform

LearnStack OS

Retrieval over a chunked content corpus supports placement assessment, personalized learning paths, and in-lesson prompt tools.

Explore the case study →

Knowledge system

BrainVault

A local note vault syncs to Supabase for semantic search with Postgres, pgvector, and OpenAI embeddings. Operational frontmatter is stripped before embedding so retrieval focuses on the note content.

Explore the case study →
02 / Tooling

MCP server authoring and deployment

In-development bot team · deployed servers

AlmoraBots

I built and deployed Python MCP servers for Mason (deal scouting), Parker (buyer-matching research), and Maya (marketing). Signed bot packages expose task-bound tools: Maya’s maya_content_research returns approved context only for the brand assigned to her current task. Isolated Hermes Agent profiles use tool allowlists and scoped keys for authenticated product reads; consequential writes require product approval. The stack runs on a self-hosted production platform.

Live server · client registration pending

LearnStack Article Creator

I authored the Streamable HTTP JSON-RPC endpoint at /api/mcp. Seven article tools cover creation, rewriting, importing, checking, publishing, scheduling, and authoring options. OAuth scope checks, Origin validation, and idempotent writes protect the endpoint. External OAuth client registration is still pending.

Deployed remote server

BrainVault MCP

A TypeScript server on Supabase Edge Functions exposes 11 tools for semantic search, capture, note management, review, and statistics over Postgres and pgvector. OAuth 2.1 gives clients registration and consent; database row-level security limits what each client can read and write.

Explore BrainVault →

MCP integration

Legal Document Creator / Serena

I configured the Serena MCP server for Codex to navigate and inspect the attorney’s Legal Document Creator codebase.

Explore the client workflow →

Verified credentials.

Current certifications, independently verifiable through Credly.

Current credential

Generative AI Leader Certification

Google Cloud

Verify on Credly
View all credentials on Credly

For teams that need the strategy and the implementation.

Let’s make the complicated part dependable.

Contact for consultation

Describe the engagement. Bhaskar replies directly.

bhaskar.knp@gmail.com

For recruiters and hiring managers

Hire

Embed a systems-minded engineer who owns an AI-enabled product or delivery problem end to end.

Hiring conversation

Share the role and its context. Bhaskar replies directly.

bhaskar.knp@gmail.com

For teams and founders

Consult

Clarify the workflow and engineering boundary, then bring accountable technical context to product direction, delivery decisions, and a practical first implementation.

Contact for consultation

Describe the engagement. Bhaskar replies directly.

bhaskar.knp@gmail.com