Incident Response, Pytorch, Python, Rust, Systems Programming, Release Engineering, autonomous AI coding agents, Go, TensorRT, speculative decoding, SGLang, human-in-the-loop code review, alerting, software delivery pipelines, Capacity Planning, GPU architecture and performance profiling, quantization, continuous batching, KV cache management, tracing, benchmarking suites, CUDA kernel programming, Monitoring, vLLM, performance optimization, Cost Optimization, root-cause analysis, LLM inference and optimization techniques, advanced prompting

Unix, Pyspark, Prometheus, Apache Spark, Artifactory, Grafana, Jenkins, Git, Bitbucket, Docker, Linux, Ansible, Sonarqube, Dynatrace, Kubernetes, Python

Machine Learning, SAS, Node.js, Sql, React, Data Manipulation, Typescript, Gcp, Docker, Flask, FastAPI, Azure, Python, AWS, LangChain, LangGraph, Claude Agent SDK, Next.js, Statistical Modeling

Git, Docker, PostgreSQL, Rest Apis, Azure, Kubernetes, Python, Microservices, DevOps practices, Langfuse

.NET, Java, Logging, Typescript, Javascript, Containers, Azure, Python, Azure DevOps, vector search, Infrastructure as Code, secure development practices, RAG prompt orchestration, CI CD, Monitoring, GitHub Enterprise, model evaluation, LLM application patterns, AI observability

Apis, Typescript, Application Security Testing, Python, Authentication, policy enforcement, Shared Services, LLMs, multi-tenant isolation, retrieval-augmented generation, Authorization, threat modelling

Gcp, Docker, Azure, Kubernetes, Python, AWS, LangChain, multi-agent systems, Generative AI, LLMs, platform engineering, prompt engineering, AutoGen, LangGraph, Agentic AI, RAG pipelines, scalable AI system architecture, LLM observability