Large Language Models (LLMs), Tensorflow, Numpy, Pandas, Pytorch, Python, Generative AI, Prompt engineering, Scikit-learn, Model training and evaluation, Machine learning concepts, OpenAI APIs

Tensorflow, Pytorch, Apis, Neural Networks, Pattern Recognition, Python, Microservices, Cloud environments

Databases, Ml, Apis, Nlp, Git, Web Applications, Testing Tools, automation, Generative AI, LLMs, AI Agents, deployment environments, Ai, cloud platforms, RAG

Docker, Python, AWS, LangChain, Qdrant, GenAI LLM applications, CI CD, Azure AI Foundry, LangGraph, MCP implementation, Microsoft Agent Framework, production-grade agent AI framework

Version Control, Natural Language Processing, Neural Networks, Tensorflow, Git, Computer Vision, Gcp, Pytorch, Keras, Azure, Python, AWS, Transformers, data pipelines, scikit-learn, ETL processes, deep learning techniques

Git, Typescript, MySQL, PostgreSQL, Node.js, Rest Apis, Python, AWS, OCR vision models, asynchronous processing

Machine Learning, Tensorflow, Pytorch, Gcp, Docker, FastAPI, Azure, Python, Kubernetes, AWS, Generative AI, Feature Engineering, Model deployment, Document Extraction, Scikit-learn, Context Engineering, Vector Databases, Agentic AI workflows, Streamlit, Prompt Engineering

Python, LangChain, Transformers, LLM APIs, attention mechanisms, open-source LLMs, API integration tools

Pattern Recognition, Context management, schema-driven extraction, LLMs, Attention To Detail, Prompt chaining, zero-shot techniques, JSON structured outputs, Analytical Skills, Problem-Solving Thinking, prompt engineering