Apis, Microservices, Tensorflow, Pytorch, Gcp, MLops, Docker, Python, AWS, embeddings, Generative AI, LLMs, LLMOps, Scikit-learn, vector databases, Azure OpenAI, RAG, Azure AI

Hadoop, Java, Tensorflow, Kafka, AWS, Pytorch, Redis, Python, Docker, Jenkins, Git, PostgreSQL, MongoDB, Spark, Azure ML, MLflow, Kubeflow, Google AI Platform, Hugging Face, Scikit-learn, SageMaker, LangChain, DVC

Tensorflow, Jax, System Design, Distributed Systems, Pytorch, Python, Spark, performance optimization, Ray, CI CD, cloud-native AI ML services, distributed computing frameworks, model serving, scalable AI inference systems, model monitoring, MLOps best practices

Ml, Jax, Pytorch, Python, RLAIF, SFT, DPO, distributed training, Ai, ppo, preference data curation, reward modeling, large language models, synthetic data generation, RLHF

Matplotlib, Power Bi, Tableau, Tensorflow, Pytorch, Seaborn, Data Visualization, AI and ML algorithms, Data Analysis, pre-processing, Data Collection, machine learning models

Spark, Sql, Kafka, AWS, Kubernetes, Python, Gcp, Docker, Airflow, LlamaIndex, ADK, dbt, Hugging Face, Prefect, Weaviate, LangChain, pgvector, OpenAI API, Pinecone, MCP A2A, Chroma, Qdrant

Java, PostgreSQL, Node.js, Kotlin, Grafana, Redis, React, Python, DocumentDB, pgvector, Qdrant, Codex, Claude Code, Azure Blob Storage, Next.js, Langfuse

Deep Learning, python, Machine Learning, Natural Language Processing, Tensorflow, gen ai