data compression , Distributed Computing, Software Development, Technical Leadership, Natural Language Processing, Information Retrieval, Networking, Artificial Intelligence, Mobile App Development, User Interface Design, People Management, generative AI tools, Security, LLM interfaces, full-stack development, large-scale system design

Typescript, Docker, Sonarqube, Gitlab, Python, AWS, Sentry, Node.js, Jira, AI ML, Cloudwatch, MongoDB, AWS Bedrock, re-ranking, vector databases, LangGraph, embedding, chunking, output evaluation, document pipelines, Langfuse, similarity thresholds, LangChain, RAG architecture, managed inference infrastructure, hallucination detection, SageMaker, prompt tracing, data-driven model evaluation, AI observability, GitLab CI CD

.NET, react.js , Azure Kubernetes Service (AKS), Github, Node.js, Pulumi, Terraform, Docker, Microsoft Azure, Python, Kubernetes, Azure DevOps, App Insights, CI/CD, Azure Monitor

containerization , Java, Test Automation, C#, Distributed Systems, Software Architecture, Agile Development Methodologies, Javascript, Python, Modern Development Practices, CI/CD Pipelines, DevOps Practices, Microservices Architecture, Application Engineering

.NET, Github, Gcp, Version Control, Jira, Azure DevOps, Azure Repos, Lean Agile techniques, MS Projects

AI ML technologies and frameworks, software testing methodologies and best practices, automated testing tools and frameworks, cloud-based AI ML platforms, data science principles and practices, Agile and DevOps methodologies, performance testing of AI ML applications

Power Bi, PowerShell, Sql, Machine Learning, Python, Windbg, C#, Orchestration, C++, Storage, ETW, AI-assisted analysis, Kusto, Windows Performance Analyzer, Deployment, Statistics, Diagnostic and trace-processing systems, KQL scripting, anomaly detection, Azure services and data platforms, Monitoring systems, experimentation, Automated diagnostic workflows, Large-scale telemetry analysis