S3, Pyspark, Microservices, Lambda, React, Typescript, Docker, Terraform, Python, AWS, Testing, Apache Spark, Emr, Sql, Kubernetes, embeddings, model evaluation, Security, observability, Architecture Design, Generative AI, LLMs, Ai, EKS, Glue, RAG, Jupyter

Distributed Systems, Ml, System Design, LLMs, Operational Excellence, architecture, data technologies, full-stack systems

Machine Learning, Elk, Prometheus, Kafka, Grafana, Datadog, Microservices, Tensorflow, Jenkins, Kinesis, Pytorch, Automation Frameworks, Rundeck, Splunk, Kubernetes, Python, Airflow, LLMs, SRE, StackStorm, Pub Sub, observability

Java, Distributed Systems, Python, knowledge graphs, LLMs, infrastructure design for scalability and security, Go, testing and observability, graph-based memory systems, AI orchestration models, autonomous agent frameworks, cognitive architectures, cloud-native platforms, RL, agentic frameworks

Java, Kotlin, System Design, Python, latency optimisation, embeddings, Go, vector databases, fallback logic, model integration, Cost Control, high-throughput systems, LLM GenAI-powered systems, AI agents orchestration frameworks, reliability for AI systems, multi-step reasoning systems, event-driven architecture, RAG pipelines

Azure, Java, AWS, Python, Golang, Gcp, LLMs, model fine-tuning techniques, cloud native services, GenAI, Agentic AI frameworks, REST-API, MCP, context engineering techniques, A2A protocols

Java, Ml, Pytorch, Rest Apis, Python, AWS, GenAI, Transformers, cloud storage platforms, LLMs, Hugging Face, Ai, large-scale data processing pipelines, Go Lang, Cloud Native Infrastructure, microservices-based SaaS architectures

Docker, Kubernetes, Agentic AI, LLMs, RAG, Microservices architecture