Oops Concepts, Angular, React, Typescript, Design Patterns, Flask, Python, Css3, Django, Git, Html5, FastAPI, Material UI, Devops Tools, Kubernetes, responsive UI, Azure AI evaluation tooling, CI CD, LangSmith, LangGraph, LLM APIs, SQL-Postgres, Langfuse, Unix command-line tools, Cloud infra architecture design, LangChain, Unit testing frameworks, CrewAI, UI component libraries, Semantic Kernel, AutoGen

Java, Apis, Debugging, Git, Typescript, Javascript, Distributed Systems, Python, Event-driven design, Modern development tooling, Go, ML/AI infrastructure, Data-intensive applications, Microservices architecture, System design principles, Model serving, Containerized environments, Software architecture design patterns, Training pipelines, Data annotation platforms, CI/CD workflows, Backend services, Evaluation frameworks

Databases, Backend Development, Apis, Distributed Systems, Microservices, Pipecat, Voice AI frameworks, real-time conversational AI, LLMs, event-driven systems, Voice AI orchestration systems

Distributed Systems, LangChain, policy enforcement, LLMs, agent orchestration frameworks, LangGraph, ML platforms, cost controls, model adapters, embeddings pipelines, stateful workflow design, vector DBs, external APIs, RAG retrieval, observability

Tensorflow, C, Python, AI frameworks and tooling such as PyTorch, T5, transformer-based models such as BERT, open-source AI inference frameworks such as llama.cpp, ONNX Runtime, Llama, GPT, MLIR

Sdlc, System Design, Databricks, FastAPI, Python, AWS, LangChain, Generative AI, Enterprise AI platforms, Vector search systems, LLMs, AI agent development, Azure AI Foundry, Semantic Kernel, LangGraph, Agentic AI, Embedding pipelines, Production grade scalable AI systems, Transformers, Cloud native architectures, Multi-agent orchestration

production readiness , Python, ML training and evaluation workflows, scalable system design, data pipelines, GenAI LLM application development, deployment observability, model pipelines, APIs and backend services, ML LLM framework

containerization , Docker, Automation Frameworks, Python, Java, Data structures, Algorithms, Gcp, System Design, Rest Apis, Azure, Kubernetes, Infrastructure as Code, AWS cloud services, Software design principles, Deployment technologies, Observability, Monitoring, Asynchronous processing, Generative AI, AI platform development, Workflow orchestration platforms, Backend distributed systems, Microservices architectures, Conversational AI, Platform reliability engineering, Event-driven architectures

graph databases , Predictive Analytics, Python Programming, LangChain, agentic AI solutions, embeddings, data pipelines, Transformers, cloud-native environments, KPI modeling, vector databases, AutoGen, LangGraph, LLM RAG, telecom operations, ML fundamentals, MCP, LLM architectures, semantic search, LlamaIndex, AIOps

Python, Databricks, Sql, Pyspark, Unit Testing, Terraform, Git, Azure DevOps, Azure Data Factory, Integration Testing, Spark SQL, Kubernetes, Docker, Apis, Jenkins, Data Modelling, Fabric Pipelines, Snowpark, dbt, Semantic Data, Modern Data Platforms, CI CD, Enterprise Orchestration Tools, Data Pipeline Testing, Databricks Workflows, Policy-as-Code, Microsoft Fabric, Infrastructure-as-Code, Cortex AI, Cloud ecosystems