Prometheus, Grafana, Jenkins, MLops, Gcp, Docker, Flask, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Airflow, GitOps, MLflow, vector databases, GitHub Actions, OpenTelemetry, Kubeflow, GenAI frameworks, AIOps

Retrieval-Augmented Generation (RAG), PostgreSQL, Sql, Microservice, Backend Development, MongoDB, FastAPI, Python, Generative AI, AI Agents, LLMs, data understanding, Financial Documentation, OpenAI Codex, Pinecone, Financial Statements Analysis, Vector Search, LangGraph, AI Evaluation, LlamaIndex

PostgreSQL, Docker, Python, AWS, Redis, MongoDB, FastAPI, Kubernetes, embeddings, AWS Bedrock, vector databases, Claude, LangGraph, Security, guardrails, AI evaluation, semantic search, financial document analysis, LangChain, Generative AI, contextual retrieval, prompt engineering, microservices architecture, Llama, reranking, AI agents, OpenAI

pruning , Testing, Tensorflow, Pandas, Pytorch, MLops, Python, automated model training, quantisation, model optimisation techniques, knowledge distillation, Monitoring, Deployment, AI ML modelling

Machine Learning, Predictive Analytics, Performance Monitoring, Bash, Itil, Problem Management, Incident Management, Python, SRE, Splunk ITSI, anomaly detection, observability architecture, Splunk MLTK, Rca, SPL, Splunk Enterprise, ITSM integrations, ITSI Service Analyzers, CIs service mapping, ServiceNow CMDB, AIOps, Linux automation

Machine Learning, Predictive Analytics, Sql, Deep Learning, Typescript, Gcp, Javascript, Docker, Openshift, Azure, Kubernetes, Python, AWS, ROS, GenAI technologies, Statistical Modeling, digital twin platforms, ROS 2, Gazebo, agentic AI patterns, LLM integration, Unity Robotics Hub, RAG, NVIDIA Omniverse, Isaac Sim Lab, Responsible AI practices

PostgreSQL, Docker, Python, AWS, Redis, MongoDB, FastAPI, Kubernetes, embeddings, AWS Bedrock, vector databases, Claude, LangGraph, Security, guardrails, AI evaluation, semantic search, financial document analysis, LangChain, Generative AI, contextual retrieval, prompt engineering, microservices architecture, Llama, reranking, AI agents, OpenAI

Python, System design leadership, LLM integration at scale

data engineering , Java, Capacity Management, Networking, Apache Spark, Google Cloud, Sql, Iam, Python, Inference cost optimisation, GenAI, Subnet design, Consumption modelling, Containerisation, Agent orchestration frameworks, Caching strategies, Observability stacks, LLM-based platforms, DNS routing, GCP security, Private connectivity

Ml, Integrations, Coding, Distributed Systems, Software Engineering, Apis, Testing, Requirements Analysis, MLops, full-lifecycle software development, automated deployment pipelines, cloud-based applications, platform engineering, session context management, model evaluation, Continuous Improvement, architecture, Deployment, LLMOps, fine-tuning approaches, retrieval-augmented generation, Agents, prompt engineering, Production Support, backend services, LLM-based application development, applied AI