Ungate Ai

Back End & DevOps Engineer
Dec 2024 - Present
London, Metropolitan Area • Remote
- 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

Back End & DevOps Engineer
May 2024 - Dec 2024
Delhi, India • Hybrid
- 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
Back End Developer
Jan 2023 - Apr 2024
Canada • Remote
- 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
