Databases, Apis, Testing, Node.js, Django, React, Git, Debugging, FastAPI, Python, AI engineering, software development best practices, Next.js, full-stack development

Code Review, Python, Testing, embeddings, automated scoring, streaming APIs, multi-GPU, RAG systems, tool calling, JSON Schema, LLM systems, LangGraph, regression tracking, chunking, Pydantic, structured output, LLM evaluation, tracing, context engineering, async HTTP, hybrid search, LoRA, reranking, QLoRA

Tensorflow, Pytorch, Azure, Python, LangChain, LangGraph

vendor coordination , Api Integration, Agentic Workflow Design, RAG workflow design, reinforcement learning, Agent architectures, Agent tooling, Model training, Hallucination control, Multi-turn instruction following, Multimodal agents, Annotation guideline development, Memory Tools training optimization, Tool-calling accuracy

production deployment , Logging, Tensorflow, Pytorch, Python, Apis, Git, Spark, Containers, Kubernetes, vector search, RAG embeddings, human-in-the-loop review, scikit-learn, Privacy, MLflow, Security, explainability, LLMs, LLM Agent frameworks, cloud AI ML services, Monitoring, MLOps pipelines, prompt engineering, Agentic AI, CI/CD, feature engineering, audit controls, Governance

Sql, Microservices, Nosql, Gcp, Docker, Restful Apis, Azure, Kubernetes, Python, AWS, Airflow, Infrastructure as Code, Ray, Prefect

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

Optical character recognition (OCR), Retrieval-augmented generation (RAG), Python Programming, Agentic AI systems, Prompt engineering, Multimodal AI technologies, Vector databases, Generative AI development, AI model evaluation techniques

Java, Power Platform, Tensorflow, Pytorch, MLops, Docker, Databricks, Azure, Kubernetes, Python, AWS, scikit-learn, Microsoft Co-Pilot Studio, R

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