Ungate Ai

Ungate Ai

Back End & DevOps Engineer

Dec 2024 - Present

London, Metropolitan AreaRemote

  • Developed an AI agent Orchestrator with Kubernetes and Nitro Enclaves with TEE, AVS (Active Validated Services) for cryptographic verification on-chain, increasing integrity and security with 90%.
  • Configured KrakenD API Gateway with custom plugins, extending proxy features, rate limits, request transformation improving overall performance by 20%.
  • Implemented a P2P Network layer of Agents in Go, for secure communication, atomic swaps, and DeFi lending protocols.
  • Created a Prometheus client in Golang with Grafana to distribute real-time metrics of 500+ AI agents running across cluster.

    Technologies Used

    Kubernetes
    Docker
    Terraform
    Kraken D API Gateway
    Prometheus
    Grafana
    DevOps
    AWS
    EKS
    VPC
    Golang
    Ansible
    MonoRepo
    AI Agents
    ELK stack
    Microservices
    RabbitMq
    PostgreSQL
    CI-CD
    SASS

    Stir

    Stir

    Back End & DevOps Engineer

    May 2024 - Dec 2024

    Delhi, IndiaHybrid

    • Led the development team for creating a SaaS to connect enterprises with micro influencers streamlining the discovery at scale.
    • Architected worker pipelines using RabbitMQ and Docker, with Cron jobs for continuous data processing, maintaining near-zero downtime, while scaling to 10k+ MAU (Monthly active users).
    • Deployed entire pipeline on AWS using Terraform with Kubernetes, maintaining system reliability with minimal downtime utilizing Jenkins CI/CD for large-scale decentralized deployment of microservices.

      Technologies Used

      Kubernetes
      Docker
      Terraform
      Jenkins
      DevOps
      AWS
      EKS
      VPC
      Software Lead
      RabbitMq
      PostgreSQL
      CI-CD
      SASS
      Microservices

      FinXsystems

      FinXsystems

      Back End Developer

      Jan 2023 - Apr 2024

      CanadaRemote

      • Created a microservice automation framework to execute Wi-Fi standard test cases (e.g.: RVR, RVOR), utilizing Iperf controlling 150+ LAN machines, simulating high-throughput transmissions, ensuring comprehensive coverage of real-time performance benchmarks. Collaborated with product & marketing team to developed & deployed a client acquisition platform on AWS EC2, using S3 & CloudFront for low-latency content delivery, reducing the loading time by 25%.

      Backend Development Intern

      • Designed and deployed a client acquisition platform on AWS EC2, using S3 & CloudFront for low-latency content delivery, reducing the loading time by 25%.

      Technologies Used

      AWS
      Linux
      Bash
      Networking
      NodeJs
      MongoDB
      Cloudfront
      AWS S3
      Websockets
      Backend Developer
      Microservices
      Performance Monitoring

      Rudra

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