Sql, Docker, FastAPI, Python, AWS, pgvector, Agent Frameworks, Skill Building, RAG Pipelines, Pinecone, Guardrails, OpenSearch, Multi-Agent Systems, LLM API Integration, Prompt Engineering

containerization , Machine Learning, Tensorflow, Elasticsearch, Docker, Pytorch, Kubernetes, LLMs, Vector databases, GenAI engineering, reinforcement learning, Retrieval pipeline skills, Generative AI systems, Citation grounding, VLM systems, Olama, Distributed processing frameworks, Chunking strategies, Local GenAI model deployment, Multimodal systems, Re-ranking

Tensorflow, Pytorch, Docker, Apache Spark, Kubernetes, Python, AWS SageMaker, Scikit-learn, MLflow

Keras, Natural Language Processing, Pytorch, Deep Learning, Tensorflow, Python, Pandas, Numpy, Machine Learning, machine translation

Github, Sql, Computer Vision, Deep Learning, Opencv, Machine Learning, BigQuery, Pytorch, Kubernetes, Python, Docker, Gcp, Scikit-learn, Jupyter, dbt

Kibana, Sklearn, Kafka, Redshift, Redis, Tensorflow, Rabbitmq, Kinesis, Docker, Spark, Flask, MongoDB, Pytorch, Kubernetes, Airflow, Mlflow, Sagemaker

Neural Networks, Docker, Computer Vision, RAG expertise, RAG architecture, LLM Fundamentals, LLM VLM fine-tuning, OCR tools, Prompting techniques, Custom LLM agent design, AI agents tool use, Image processing concepts, Transformer architecture, Object detection concepts, Git operations, API scaling, Frontend UI basics, MCP Model Context Protocol, Vision agents, Flask API development, Audio handling in agent workflows, Database selection

Numpy, Sklearn, Python, Pandas, Scipy