containerization , Aws Lambda, PostgreSQL, FastAPI, Python, LLMs, MCP servers, AI technologies

Python Programming Language, AI product lifecycle management, Prompt Engineering, Communication, Stakeholder Management

Sprint, Python Scripting, AIML, rag, Llm

Distributed Systems, Python, CI CD DevOps, Cloud Platforms, Safety Security Fundamentals, OpenTelemetry, AI ML Awareness, Quality Engineering Basics, Data Analysis, RAI Awareness

Ml, Apis, Agile Methodologies, Microservices, Sdlc, Gcp, Azure, AWS, DevOps practices, Ai, cloud platforms, modern application architectures

vulnerability research , Distributed Systems, Penetration Testing, Api Integration, execution control, LLMs, agent-based automation, AI-driven systems, offensive security, agent orchestration, task planning

Apis, orchestration frameworks, ML automation decision systems, GenAI, LLMs, Evaluation metrics beyond adoption, Accuracy vs cost vs latency considerations, RAG concepts, Familiarity with modern AI tooling and workflows, data-driven systems, AI-powered product features, Model selection and orchestration

Release Engineering, testing strategy, policy-as-code, modern AI tooling, developer platforms, infrastructure-as-code, security-minded engineering practices, workflow automation, CI CD, platform engineering, observability

.NET Framework, Machine Learning, Javascript, Autoit, Microsoft Sql Server, Selenium, Python, GitHub Copilot, Excel VBA Macros, Pega Robotic Studio, Windows Presentation Framework

bedrock , S3, Tensorflow, Lambda, Pytorch, Ec2, Iam, ECS, Python, AWS, LLMs, MCP servers, vector databases, EKS, SageMaker, RAG pipelines