Ml, Distributed Systems, Cloud Infrastructure, Kubernetes, large-scale backend platforms, Ai

Hadoop, Big Data, Sql, Nosql, Tensorflow, Numpy, Pandas, Pytorch, Gcp, Spark, Azure, Python, AWS, Scikit-learn, R, NLP models

Jenkins, Devops, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools

.NET ecosystem, Java, Bdd, Rest Web Services, Spring Boot, Grafana, Kotlin, Sql, Nosql, Gcp, Tdd, Restful Services, Oracle, Kubernetes, OpenAPI standards, microservices architecture, CI CD pipelines, observability and monitoring tools, Windows platform

Data Migration, Microsoft Azure, Quality Assurance, Microsoft Fabric, Governance, Risk Management, Financial Management

React, Web Technologies, Sql, HTML, Django, Javascript, Flask, FastAPI, Azure, Python, AWS, Generative AI, LLMs, GPT

Logging, Cloud Infrastructure, automation, AWS, end-to-end system architecture, AI tools and platforms, Security, LLMs, AI-first thinking, agent-based systems, Monitoring

state management , Orchestration, Data Architecture, Python, AWS, Java, Data Quality, embeddings, tool calling, lineage, PII controls, LangGraph, retrieval, guardrails, evaluation monitoring, metadata, LangChain, Indexing, GenAI systems, EKS, retries, agentic workflows, lakehouse data platform, idempotent pipelines, backfills, RAG, Governance

Test Automation, Distributed Systems, Kubernetes, Release Engineering, AI-powered quality systems, Intelligent test automation, quality engineering, Cloud-native architecture, Agentic workflows, Microservices architecture

Java, Microservices, Typescript, Distributed Systems, Python, AI-powered developer tools, Prompt engineering, Event-driven systems, AI evaluation frameworks, APIs and platform engineering, Go, Agentic AI systems, Voice AI, Cloud-native architectures, Reliability and operational excellence, Conversational AI, Performance and scalability, AI orchestration