Ing. Jithin Jose Dsouza

Designing and operating scalable AWS platform infrastructure. • AWS platform automation using Terraform and GitOps. • Kubernetes orchestration with EKS. • GitHub Actions CI/CD and developer self-service pipelines. • Datadog observability engineering. • Security hardening and FinOps enablement. Value delivered: Improved platform reliability, standardized delivery, and accelerated developer velocity. Technologies: AWS, Terraform, EKS, Docker, Helm, GitOps, Datadog, CloudFront, Lambda, RDS, ElastiCache, IAM

Designing and operating multi-stage Kubernetes infrastructure. - Kubernetes orchestration using Kubespray and Netways. - Jenkins/Helm CI/CD and developer enablement. - EFK, Prometheus and Grafana observability engineering. - Sqitch and TimescaleDB stateful database management. - Production deployment leadership. Value delivered: Improved platform reliability and accelerated delivery velocity. Technologies: Kubernetes, Kubespray, Helm, Jenkins, EFK/Fluentd, Prometheus, Grafana, Sqitch, TimescaleDB

Application of Deep Learning methods for automatically detecting coastlines from radar images

1. Collecting presence data from customer thermostats 2. Analyzing and plotting the presence data 3. Manual fault detection and data categorization 4. Formulating an algorithm for automatic fault detection

Communication systems and Microcontroller programming: Setting up radio devices for communication by programming an STMicroelectronics evaluation board consisting for the new thermostat prototype. Programming S2-LP board to send different packages through different radio modulations and measuring the devices' data rate, range and power for different modulations.

Modeling an automatic Simulink environment for calculating temperatures and temperature distribution in a building and visualization of the same through MATLAB Animation.

Computer aided graphics, Statistical Quality control, CNC and Robotics Lab, Industrial Robotics.