RAG (Retrieval-Augmented Generation), MLops, Docker, Python, LangChain, GraphDB, ETL Data Engines, LLMOps, Firecracker MicroVMs, PGVector, LangSmith, Vector Databases, WorkOS, Temporal, Prodigy framework, CI/CD, ChromaDB, Multi-agent systems

weights & biases, python, Version Control, Test Driven Development, Docker, Spark, Databricks, Terraform, Tensorflow, Kubernetes, AWS, Pytorch, scikit-learn, mlflow, kubeflow, langchain, AI ML model training and serving

Pytorch, Natural Language Processing, Computer Vision, Jax, deep learning classifiers

Kubernetes, Sql, Java, Tableau, AWS, Kotlin, Python, Sap Business Objects, Docker, Gcp, Nlp, Spark, transformer architectures, benchmarking datasets, Go, Looker, PEFT, model alignment, LLM techniques, R-Shiny, LoRA, evaluation pipelines, Microstrategy, prompt engineering

Rest Apis, Pytorch, Kubernetes, Python, Docker, Nlp, Machine Learning, Hugging Face Transformers, RAG, vector databases

Deep Learning, Tensorflow, Pytorch, Databricks, Python, GCP Vertex, LLMs, AWS Sagemaker, classical ML, cloud ML infrastructure

Gcp, Azure, Python, AWS, vector stores, statistical machine learning algorithms, LLM orchestration, embedding models, ML systems, transformer models

Node.js, Sql, React, Git, Flask, FastAPI, Rest Apis, Azure, Python, AWS, Github, Gcp, Docker, App Development, Cloud Devops, Microservices, Prompt engineering, Vector databases, Agentic AI, LLM APIs, SDKs, RAG architectures, CI CD, Gen AI Development

Azure, Sql, Tensorflow, MLops, AWS, Pytorch, Kubernetes, Python, Docker, Gcp, Spark, LLMs, Scikit-learn, RAG, Agentic AI, Generative AI

Python, LLM fine-tuning, prompt-based systems, ML tooling, RAG pipelines