Os Internals, concurrency, Performance Engineering, Memory Management, Distributed Systems, Linux kernel development, Database Internals, filesystem architecture, AI and Machine Learning, low-level programming, Linux-based environments, hardware tuning, performance optimization

Storage Systems, Distributed Systems, Systems Programming, Performance Engineering, Networking, Database Systems, Linux Kernel, Performance Optimization, distributed databases, Database Internals, AI ML for Automation

amplifier , Dockers, C, OTDR, Python, Optical Control Loops, VOAs, ROADM, Optical Channel Monitor, Cursor Copilot AI, Optical Layer 0 boards, RAMAN, GTEST, Codescene, AI DLC models

Java, Ux, Microservices, Node.js, React, Ruby On Rails, Typescript, UI, Python, Distributed Systems Design, AI-native Engineering, Go, Micro Front-end, Web Backend, Agentic AI Systems

telemetry , Ras, Ci, Firmware Development, Bmc, Virtualization, power management, Diagnostics, Infra-scale platforms, software development standard processes, testing strategies, Debug, system software expertise, release considerations

Azure ML, test automation, Debugging, machine learning systems, data pipelines, reinforcement learning, LoRA models

Golang, Prometheus, Grafana, Terraform, Kubernetes, GitOps, Istio, Service Mesh, rbac, OpenTelemetry, Traffic Management, mTLS

.NET, Sql, Containers, DevSecOps, Microservices, Automated Testing, Typescript, Rest Apis, React, AWS, Nosql, Kubernetes, LLMs, Cloud-native architecture, Deployment automation, AI-enabled applications, Agentic architectures, API-first architecture

containerization , Java, Golang, Distributed Systems, Python, next-generation databases, orchestration using Kubernetes, developer tools, DevOps practices, cloud-native applications, CI CD, event-driven programming paradigms, Managed Services, infrastructure as code