Distributed Computing, Apis, Microservices, Containers, automated deployment, cloud AI ML stacks, data pipelines, model versioning, cloud-native AI solutions, model lifecycle, Monitoring, CI CD, MLOps frameworks, AI architectures, integration layers

Machine Learning, Tensorflow, Deep Learning, Nlp, Gcp, Pytorch, MLops, Distributed Systems, Azure, Python, AWS, Generative AI, agentic AI, LLMs, LLMOps, prompt engineering, real-time inference systems, AI model optimisation, multimodal AI, scalable AI deployment, RAG architectures

Java, S3, Scala, Dynamodb, Node.js, Lambda, Cloudwatch, Kinesis, Sqs, Iam, Spark, Sns, Api Gateway, EventBridge, AI agents, LLM-based applications, AWS cloud architecture

Gatling, Prometheus, Grafana, Microservices, Sql, New Relic, Appdynamics, Jmeter, Dynatrace, Splunk, Loadrunner, Rest Apis, performance testing methodologies, Distributed Applications

Confluence, Waterfall, Agile, Scrum, JIRA, Automation, Oracle, Sap Erp, MS Project, Project Management, Ai

Apis, Data Modelling, Problem Solving, Compliance, financial crime