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x2ankit/README.md

Ankit Arayan Tripathy

AI Systems Engineer · LLM Applications · RAG Architectures · Agentic Workflows

LinkedIn GitHub LeetCode Resume Email


I design and build production AI systems focused on LLM orchestration, retrieval architectures, and autonomous agent workflows.

My work goes beyond model usage : I build complete systems involving data pipelines, reasoning layers, and scalable backend infrastructure.


🚀 Systems I Build

  • 🧠 Quarry → LLM + RAG backend system for semantic retrieval
  • 🛩️ Aeroguard → ML anomaly detection system using NASA telemetry
  • 🚁 Agriguard → AI vision system for precision agriculture
  • 🤖 OnboardAI → Multi-agent automation system using LLM planning

🛠️ Stack

🧠 AI Systems RAG · Agents · Embeddings · Retrieval · Evaluation

⚙️ Backend FastAPI · PostgreSQL · Redis · SQLAlchemy · Pydantic

🗄️ Data Infrastructure Vector Databases · Semantic Search · Hybrid Retrieval

🧰 Infrastructure Docker · Git · GitHub Actions · Linux

🐍 Languages Python · SQL · C · C++


GitHub Snake

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  1. quarry quarry Public

    Production-first AI systems platform evolving from retrieval and RAG into agents, memory, evaluation, observability, and inference infrastructure.

    Python 1

  2. OnboardAI OnboardAI Public

    Autonomous agentic AI system that automates client onboarding using LLM-driven planning, tool execution, and decision loops.

    Python 1 1

  3. Aeroguard Aeroguard Public

    Aeroguard is an unsupervised machine learning system for early detection of aircraft soft faults using real flight telemetry. It learns normal landing behavior patterns, identifies anomalous flight…

    Python

  4. Agriguard Agriguard Public

    🚁 An intelligent pesticide sprinkling system built for the Smart India Hackathon. Agriguard uses a custom AI model on an onboard Raspberry Pi and Coral TPU to perform real-time disease detection an…

    TypeScript 1