RAG (Retrieval-Augmented Generation), Machine Learning, Devops, Git, Nlp, Terraform, Azure, Python, AWS, LangChain, LLM optimization, fine-tuning, OpenAI GPT, LLMs, Hugging Face, Full Stack MERN development, LlamaIndex

Sql, Databricks, Tensorflow, Qliksense, Hadoop, Tableau, Power Bi, AWS, Pytorch, Python, Azure, Gcp, Nlp, Scala, XGBoost, Spark, scikit-learn, Airflow, MLflow, Kubeflow, R, LightGBM, Generative AI

messaging platforms , Databases, Typescript, Enterprise Applications, Reactjs, Python, Node.js, Memory Management, Rest Apis, External AI services, Tool Calling, LangFuse, Agent Orchestration, AI Frameworks, LangGraph, Multi-Agent Systems, AWS AI, Amazon AgentCore, Authentication providers, Bedrock Agents, LangChain, SaaS platforms, Bedrock Knowledge Bases, AI Workflows, Semantic Kernel, Agentic AI, MCP Model Context Protocol, Amazon Bedrock, LlamaIndex

.NET, Test Automation, Java, C#, Data structures, Build Automation, Oop, Jenkins, Algorithms, Docker, Terraform, Selenium, AI Agents, Playwright, DevOps practices, MCP Servers, RAG

Containers, Java, Ocr, Node.js, Scala, Infrastructure as code, Conversational AI, Prompting tools, Layout extraction, semantic search, Document understanding, Cloud-native services, Voicebots, Classification, Large language models, Security and compliance considerations, Chatbots

S3, Ses, PostgreSQL, Laravel, Database Design, Nosql, React, Ec2, Docker, MySQL, Php, Python, AWS, Express, RDS, Vue, Node.js, Django, Git, Cloudwatch, Iam, FastAPI, Next.js, Nest, AI tools, System Design Architecture

Microservices, Tensorflow, Nosql, Deep Learning, Nlp, Pytorch, Docker, Python, Apis, Sql, MLops, Kubernetes, Prompt engineering, Model deployment, AWS AI ML, Azure OpenAI, Google Cloud AI services, LangChain, Generative AI, LLMs, Vector databases, Scikit-learn, Semantic Kernel, CI/CD pipelines, Large-scale data processing, RAG, AI agents, Azure AI

snowflake , Apis, Sql, Gcp, Data Governance, Data Lake, Databricks, Azure, Python, AWS, GenAI, data pipelines, Llm, rbac, Lakehouse