Pytorch, Docker, Python, Sql, scikit-learn, Hugging Face, Ai, Llm

Machine Learning, Nlp, Docker, Python, AWS, Databases, Sql, Deep Learning, Gcp, Rest Apis, Azure, RAG agentic AI, vector search, embeddings, pgvector, Qdrant, vector databases, Pinecone, CI CD, model evaluation, backend systems, retrieval, experimentation, AI APIs, Generative AI, LLMs, scalable application architecture, Monitoring, prompt engineering, performance optimization, Milvus, Weaviate, production engineering practices

Sql, Tensorflow, Pandas, Pytorch, Spark, Splunk, Python, Monitoring for data and model drift, Scikit-learn, MLflow, Model versioning, Flink, LLM-based agents, Agentic AI, CI/CD for ML, Ciena Blue Planet UAA

Large Language Models (LLMs), Generative AI, Data preprocessing and augmentation techniques, Developing and deploying AI applications in cloud environments, Python Programming Language, Cloud AI services

Natural Language Processing (NLP), Tensorflow, Java, Pytorch, Keras, Python, Vision-based algorithms, Machine-learning techniques, Retrieval systems, Generative models

Data Modeling, Sql, Django, Git, React, Gcp, Docker, Flask, FastAPI, NextJs, Azure, Python, AWS, data lakes, backend APIs, scalable system design, machine learning model integration, ETL processes

Prometheus, Grafana, Tensorflow, Cloudwatch, Pytorch, Docker, AWS ECS, AWS CodePipeline, Rest Apis, Python, Scikit-learn, vector databases, Pinecone, GRPC, async job processing, GitHub Actions, OpenTelemetry, FAISS, CI CD pipelines

Machine Learning, PostgreSQL, Deep Learning, Tensorflow, Pytorch, Gcp, Opencv, FastAPI, Rest Apis, Azure, Python, Computer Vision, AWS, embeddings, AWS Bedrock, LLMs, Hugging Face, Anthropic, prompt engineering, Vector Databases, RAG, OpenAI