Small Language Models (SLMs), Model Context Protocol (MCP), Jira, Gcp, Threat Hunting, Distributed Systems, Azure, AWS, LangChain, cybersecurity concepts, Vulnerability Exposure Management, Generative AI, LLMs, Agile delivery, Agentic AI Frameworks, automation platforms, Llm, LangGraph, AI Gateways, MITRE ATT&CK, cloud-native architectures, RAG architectures, Security Operations

data engineering , snowflake , secure coding , Apis, Automated Testing, Software Architecture, Automation, Microservices, DevSecOps, Application Development, Databricks, Enterprise Integration, Azure, AWS, Microsoft AI Solutions, Cloud-native Engineering, Agile Delivery, AI ML GenAI Solution Delivery, AI Engineering, CI/CD, Production Support, Observability

Cloud Platforms - AWS, Retrieval Augmented Generation (RAG), Databases, Java, Performance Engineering, Distributed Systems, Python, Reliability, Agent architectures and memory systems, large-scale cloud platforms, Go, Vector search and indexing, Data and AI infrastructure concepts, LLM and inference systems, Embedding pipelines, Cost Optimization, production SaaS services

Python, evaluation frameworks, quality-control systems, data anonymization, synthetic data generation

Technical Leadership, MCP and AI tool integration architecture, AI Governance Lifecycle Management, AI Observability Monitoring, Production-grade agentic AI system design and development, Embedding strategies, Foundation model API integration, Cloud AI Platforms Services, Multi-Agent Systems, Agent orchestration frameworks, LLMOps, AI Cost Management, Cloud-Native Infrastructure Deployment, Agentic AI, Graph-RAG architectures, Technical communication and documentation

software engineering practices , compliance practices, Large Language Models, Fraud Detection, Process Optimization, backtesting, in-context learning, custom evaluation frameworks, Governance, model monitoring, drift detection, model fine-tuning, decision automation

Cloud technologies (AWS, GCP), Java, Distributed Computing, C++, Multithreading, Concurrency, Memory Management, Azure, Linux environments, Distributed systems architecture, Event-driven systems, Microservices architecture, Electronic Trading platforms, Lock-free architectures

archimate , containerization , Microservices, AWS, Gcp, Azure, Kubernetes, data pipelines, data fabric concepts, lineage, TOGAF-aligned frameworks, model evaluation, LLM application architecture, guardrails, event-driven architecture, architecture modeling notations, C4 model, RAG pipelines, prompt context engineering, multi-agent orchestration patterns, tool-use function-calling architectures, messaging systems, infra-as-code, agent frameworks, distributed systems design, enterprise data architectures, API gateways, data mesh, Governance

traceability , Devops, Dashboards, Data Intelligence, SRE, AI-led technology consulting, quality engineering, Topaz Fabric QoS, vendor-agnostic evaluation frameworks, generative AI, data sovereignty, test intelligence, quality measurement systems, emerging AI-native tools, reference architectures, execution infrastructure, scalability analysis, quality ecosystems, quality analytics, auditability of AI-generated artefacts, contextual engineering consulting, agentic and LLM strategising, regulatory and compliance advisory, adoption playbooks

CSS, Api Development, PostgreSQL, Json, Redis, HTML, Git, Flask, Microsoft Azure, Python, Playwright, Polars, agentic AI development