graph databases , Apis, Pyspark, Apache Spark, Data Modeling, Sql, TigerGraph, ELT, MLops, Neo4j, Python, Etl, LangChain, LLMOps, performance profiling, Memgraph, async concurrency, Neptune

Api Testing, Security Testing, LLM evaluation techniques, Prompt engineering, Containerized test environments, Explainability techniques, Performance profiling, AI safety, Bias detection, Compliance with AI regulations and standards, RAG model orchestration, Automated testing frameworks, Hallucination detection

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, live traffic sampling, real-time performance monitoring, offline test sets, caching strategies, model serving infrastructure, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, Speech Processing, observability tooling, evaluation and quality assurance infrastructure, large-scale AI platform engineering, intelligent query classification

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, real-time performance monitoring, live traffic sampling, model serving infrastructure, caching strategies, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, evaluation and quality assurance infrastructure, observability tooling, large-scale AI platform engineering, intelligent query classification

Gcp, Azure, AWS, AWS Bedrock, AI engineering, MCP automation frameworks, access control for AI systems, Anthropic, Azure OpenAI, output validation monitoring, cloud environments, agent-driven workflows, AI security controls, machine learning engineering, AI assistants, GPT-based tools, OpenAI

lifecycle management , Devops, Monitoring, AI application engineering, retrieval-augmented generation architectures, evaluation methods, enterprise technologies, feedback loops, cost-aware AI design, build and release workflows, observability, agentic systems, platform integration, CI CD pipelines, workflow automation

Python, Rabbitmq, New Relic, Django, Elk, Redis, PostgreSQL, Claude, Vector databases, Foundational LLMs, RAG, LangGraph, Fine-tuning LLMs

Rtp, Microservices, Kafka, Asterisk, Node.js, Kubernetes, Python, Docker, vector DBs, LLMs, Redis Streams, message brokers, Go, ASR, CI CD, SIP, CPaaS, TTS, freeswitch, WebSockets

Java, Distributed Systems, Api Integration, Security Controls, PostgreSQL, Python, Microservices, AI ML Integration, Event-Driven Patterns, Domain-Driven Design