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Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO

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adwibha/README.md

Hi, I'm Akhil

Senior DevOps Engineer at Future Secure AI · Austin, TX

I build reliable cloud infrastructure and the platforms that agentic AI systems run on.

LinkedIn Blog Medium Portfolio

AI Cloud Infrastructure

Currently

  • Running cloud infrastructure and delivery pipelines at Future Secure AI
  • Contributing to google/adk-js, Google's Agent Development Kit for TypeScript
  • Building agent tooling with Claude Code and MCP servers
  • Writing about infrastructure and local LLMs at blog.adwibha.me

Toolbox

AWS Terraform Kubernetes Docker GitHub Actions Linux Prometheus Grafana
Python TypeScript FastAPI Node PostgreSQL Redis OpenAI Claude Code

Certifications

AWS Solutions Architect Associate HashiCorp Terraform Associate Certified DevOps Engineer Engineer AI Agents with ADK

Open Source

researchflow-agent
Multi-agent research system with LangGraph orchestration and iterative refinement. 		llm-router
Routes each prompt to the cheapest capable model. Per-request cost telemetry, OpenAI-compatible API.
obs-stack-local
Prometheus and Grafana stack with SLI/SLO alerting. One docker compose up. 		exploring-adk
10-module hands-on curriculum for Google's Agent Development Kit.
rag-pipeline-ollama
pgvector RAG with Redis caching and local Ollama inference. 		rag-agentic-search
Agent-driven RAG with iterative query refinement.

Writing

More on Medium and blog.adwibha.me.


GitHub contribution grid snake animation

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  1. researchflow-agent researchflow-agent Public

    Production-grade multi-agent research system that autonomously searches, synthesizes, and iteratively refines findings using LangGraph orchestration and real-time APIs.

    Python

  2. mcp-cli-agent mcp-cli-agent Public

    A command-line AI chat application built on the Model Context Protocol (MCP), with pluggable support for Anthropic, Google Gemini, and Perplexity.

    Python

  3. rag-agentic-search rag-agentic-search Public

    Advanced RAG system combining agentic AI, semantic search, and lexical ranking. Extends Anthropic Academy RAG Course concepts with Claude tool_use, VectorIndex, BM25, and Reciprocal Rank Fusion.

    Jupyter Notebook

  4. ai-incident-responder ai-incident-responder Public

    AI-powered incident response pipeline: Alertmanager webhook → Prometheus enrichment → LLM runbook generation (Perplexity) → PostgreSQL → React dashboard.

    Python

  5. rag-pipeline-ollama rag-pipeline-ollama Public

    Retrieval-augmented generation API: FastAPI + PostgreSQL (pgvector) + Redis cache + Ollama. Ingest documents, semantic search, stream or sync answers. For learning and local experimentation.

    Python

  6. llm-router llm-router Public

    Provider agnostic LLM cost router and tracker. Routes prompts to cost-effective Perplexity models, tracks every token and dollar, exposes analytics API and React dashboard.

    Python