Tensorflow, Numpy, Pandas, Pytorch, Data Cleaning, Python, supervised learning techniques, visualization tools, Scikit-learn, feature engineering, unsupervised learning techniques

Data Sources, Summarization, Enterprise Applications, Lambda, Python, Api Gateway, AWS, Infrastructure as Code, AWS Bedrock, RAG patterns, prompt engineering, AI Generative AI solutions, CI CD pipelines, ITSM tools, intent classification, Amazon Lex

AI ethics and responsible AI frameworks, design and implement mitigation strategies for AI systems, Microsoft BOT Framework, monitoring AI system performance against ethical benchmarks, sustainability considerations in AI development, Microsoft Copilot Studio

Logging, Javascript, Python, harness design, agent evaluation, instruction design, CI CD, context engineering, Monitoring, tool boundaries, loop engineering, LLM tooling frameworks, RAG, AI agents, LLM-based applications, prompt hardening, evals, observability

Microservices, React, Typescript, Docker, Openshift, Python, Sql, Git, MLops, FastAPI, Rest Apis, Kubernetes, AWS Bedrock, asynchronous processing, LangGraph, GitHub Actions, Google Agent SDK, GCP Vertex AI, event-driven architecture, CrewAI, LangChain, LLMOps, AutoGen, GitLab CI, Microsoft Agent Framework, Azure AI

Summarization, Apis, Tensorflow, Nlp, MLops, Pytorch, Gcp, Docker, Python, AWS, LangChain, LLMs, Hugging Face, Ai, Classification, spaCy, document understanding, NER, LlamaIndex, RESTful ML services

software engineering practices , Computer Vision, Bash Scripting, automation, Python Programming, deep learning concepts, semantic segmentation