Algorithms, Debugging, Data structures, Python, ML infrastructure, Model deployment, reinforcement learning, Data Processing, Optimization, Model evaluation

Machine Learning, Distributed Systems, Web Applications, Apis, Accessibility, Usability, Performance, Real-time Systems, Security, Large Language Models, Observability

containerization , Java, Databases, Apis, Automated Testing, Microservices, Kubernetes, Python, orchestration technologies, Go, cloud platforms, generative AI tools, stream-processing technologies, observability tooling, data engineering pipelines

Java, C, Python, SIMD vectorization, Cache-aware execution, Performance profiling, Parallel execution strategies, qemu, Benchmarking, Optimization

Machine Learning, Distributed Systems, Web Applications, APIs and Interfaces, Building large-scale machine-learning infrastructure, Optimization Techniques, Transformer Architecture, Observability and Alerting Infrastructure, Programming with at least one software programming language, Agentic Workflows

Java, Xpath, Python, JIRA, Selenium, Typescript, test automation strategies, Object Repositories, AI-assisted testing, QA analytics, Playwright

containerization , Docker, Asynchronous programming, Python, Kubernetes, LLM agents, cloud platforms, vector databases, gRPC APIs, LLM evaluation frameworks, model serving, agentic workflows, AI pipelines, AI lifecycle, model registries, LLM-based production systems

Machine Learning, Distributed Systems, Web Applications, Apis, Accessibility, Usability, Performance, Real-time Systems, Security, Large Language Models, Observability

statistical concepts , Java, Tensorflow, Numpy, Git, Gcp, Pytorch, Pandas, Spark, Azure, Python, AWS, Rest Apis, Machine Learning Algorithms, Scikit-learn, Go, microservices architecture