data engineering , Incident Response, Distributed Systems, Spark, NoSQL databases, cloud-native platforms, Java Spring Framework, CI CD, real-time data processing frameworks, observability, AI ML integration

react.js , Github, Mern Stack, Microservices, Databases, Typescript, Docker, Express.Js, Node.js, Authentication, MongoDB, Rest Apis, Open Source projects, LLM frameworks, Scalable application architecture, AI orchestration, Generative AI, LLMs, RAG vector databases, Electron.js, AWS cloud technologies, AI agents, CI/CD, Cloud-native architecture

Logging, Gcp, Iam, Siem, Containers, Kubernetes, AWS, agent pipelines, cloud security architecture, secrets management, detection systems, service-to-service communication, zero-trust systems, real-time alerting, sandboxing strategies, runtime security

API design, Microservices, Typescript, Docker, Kubernetes, Python, LangChain, CrewAI, AI Agents, Google Gemini, event-driven architectures, Anthropic, Pinecone, Semantic Kernel, LangGraph, AutoGen, Chroma, FAISS, Workflow Integration, OpenAI, Google ADK, RAG pipelines, Weaviate

Python Scripting, Matlab, Cadence Sigrity, numerical algorithm development, LLM agents, EDA Tools, Ansys HFSS, Keysight ADS, AI solutions

Databases, Distributed Systems, Apis, Backend Engineering, Software Architecture, System Design, Scalability, Cloud Infrastructure, Python, AWS

operational readiness , Java, C, Apache Kafka, Kubernetes, Python, C++, Networking, Automated Testing, Concurrency, Cloud Infrastructure, Storage, Operating Systems, Distributed Systems, Performance, Kafka Connect, Go, Confluent Platform, Compliance, Documentation, Infrastructure automation, Auditability, Security, Hybrid architectures, Authorization, rbac, Backend services, Observability

Java, C, Javascript, Api Gateway, Python, Azure services, distributed backend services, graph processing, rate-limiting infrastructure, large-scale data pipelines