Perfect3sixty App streamlines salon operations, minimizes wait times, and delivers personalized beauty experiences.

Skills: AWS, Hetzner, Linux, Bash, Ngnix, Networking, Deployments, Docker, CI/CD, Monitoring

• Incorporated the Keda-http Addon for dynamic scaling based on HTTP traffic as a component of deployment worker and Implemented Kubernetes Job to adjust the ScaledObject and HTTPScaledObject for scaling down to zero during periods of low traffic.• Implemented Kubernetes Job to add triggers to Keda ScaledObject to scale based on Memory, Traffic, CPU Utilization and conducted load testing with K6 by incrementally scaling virtual users to assess system resilience through HTTP requests.• Developed pipelines using ArgoCD and workflows with GitHub Actions, resulting in a 30% reduction in deployment times and increase in workflow efficiency.• Enabled autoscaling with Prometheus monitoring and Keda for incoming load in task queue, validated it through stress testing using Fortio.• Created Grafana dashboard to visualize cluster logging aggregated by Loki and Prometheus Metrics for the Tech team.• Developed Helm charts for application deployment processes, significantly reducing deployment time.• Implemented various deployment specifications to ensure high availability and resilience of the application, reducing downtime to 1.5 seconds. Incorporated distroless multi-stage builds to enhance application security and minimize the blast radius.Skills: ArgoCD, Docker, Kubernetes, Keda, Python, Github Actions, CI/CD, GCP, AWS, Azure, New Relics, Istio, Knative, Kubecost, Karpenter, Prometheus, Grafana, Loki, AlertManager, FastAPI(Offered to Join as Full-time)siddhant@aiplanet.com

📑 Contract• Implemented and managed a robust self-hosted MongoDB replica set on Azure VM instances, ensuring high availability, data redundancy, and enhanced security through authentication and TLS/SSL encryption.Skills: Azure, Mongodb

• Architected a serverless music platform with a focus on achieving peak performance and scalability.• Developed a multi-cloud solution by integrating MongoDB with S3/Cloud Storage, • Managing and retrieving user data and music files across platforms.• Developed interactive music player and enhanced application flow with state management.• Created a docker-compose configuration file to orchestrate multi-container environments, streamlining the local debugging and testing of applications.• Led the development of over 100+ RESTful endpoints for the music platform, strictly adhering to the MVC API architectural pattern to improve application scalability and maintainability.• Wrote python scripts for scraping music files and artist metadata, seamlessly pushing the acquired data into database.• Created a script to automate the deployment of Jenkins server on AWS EC2 instances.• Deployed MVP server on AWS Ec2 and configured Nginx as reverse proxy to proxy requests.• Deployed MongoDB Atlas with VPC peering into a new VPC using CloudFormation template.• Resolved VPC configuration issues by integrating an Internet Gateway and VPC endpoint for connectivity to AWS services• Implemented Prometheus metrics to monitor cpu, memory, disk, network usage, uptime, and process metrics for ec2 instances.• Built Grafana dashboard to visualise metrics for instances, potentially reducing the costs by 90% over CloudWatch.• Developed responsive React components, implementing core features for the music and admin platforms.• Designed and implemented a user- friendly admin dashboard for effective soundtrack and artist profile management using React.• Developed numerous base functionalities for the music platform and the administrative management system.Long story short, I started as an intern but soon discovered that I'm actually the Founding engineer.

• Designed and implemented a novel consensus protocol using Go for the HyperLedger Fabric Project.• Conducted in-depth analysis of existing protocols to inform the design process.• Benchmarked multiple Byzantine Fault Tolerance (BFT) protocols to evaluate their effectiveness.• Developed and evaluated various alternatives for the consensus protocol.• Aimed to significantly boost system throughput.Aimed to enhance the overall performance and reliability of the HyperLedger Fabric's consensus mechanism.

• Accountable for crafting a highly scalable system and database framework for the Login-as-a-Service application, which involved producing a sequence diagram to illustrate system interactions.• Spearheaded the development of application microservices in Go, resulting in a 30% performance enhancement and seamless cross-platform compatibility. Leveraged gRPC for efficient internal network communication among services.• Developed prototype using Node.js and Firestore to validate system scalability.• Introduced an optimized solution for session snapshot management through in-memory caching, leading to a 75% reduction in response time.• Implemented client-side caching across websites using React, resulting in a 50% decrease in loading time and a significant enhancement in user experience by minimizing latency and network queries.• Deployed Pi-Hole on an EC2 instance to intercept and block DNS-level ad-requests, thus improving browsing speed and reducing user data consumption.• Streamlined the deployment process of a Node.js application server on GCP by developing Bash scripts, automating deployment procedures and reducing developer workload.• Designed an API using Swagger to comprehensively document the application workflow, ensuring clarity in installation, deployment, and scripting procedures.

Skills: Node.js · Medusa · AWS Elastic Beanstalk · Docz · Technical Documentation