data wrangling , Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, LangGraph, DeepSeek, Qwen, vector DBs, Google Vertex AI

AI LLM-powered tutoring features, agentic workflows, LLM evaluation frameworks, RAG vector databases, RAG knowledge retrieval, multimodal AI, mathematical reasoning, tool-using AI systems, structured and unstructured mathematics datasets, automated test pipelines

Python Programming, agentic systems, applied AI workflows, AI libraries, AI-assisted development tools, LLM integration, RAG multi-agent frameworks, workflow orchestration systems

MLOps tools (MLflow, Vector databases (Pinecone, Weights & Biases, ChromaDB), Kubeflow), Api Development, Tensorflow, System integration, Git, Pytorch, Docker, Python, Kubernetes, RAG embeddings, Milvus, Cloud-native environments, CI/CD, AI agents, Multi-agent architectures, FAISS

Rest Api, Python, AWS, Chatbot Agentic AI usecases, Generative AI, Managed vector hybrid search tuning, RAG system, Responsible-AI, Amazon Bedrock, LLM evaluation, prompt engineering

Rest API Development, Ocr, Python, AWS, Generative AI, AWS Bedrock, Vector databases, AI engineering, Document Processing

API design, Typescript, Docker, Databricks, FastAPI, Python, Kubernetes, AWS, Workflow orchestration tools, AI-powered applications, Fastify, backend system development, production backend applications, Next.js, OpenAI

containerization , Api Management, Application Maintenance, AI Agents, Implementation of Security Applications, Computer Science, Collecting Information, Project Integration, mitigation, Design, Collaboration With Stakeholders, Evaluation Methodology, capability development, Backend Integrations, End-To-End Design, Technology Evaluation

PostgreSQL, Python, Sql, LangChain, LangGraph, Large Language Models