Apis, REST, Python, scalable services, Search Engines, data processing pipelines, ANN indexes, vector databases, hybrid retrieval, information retrieval fundamentals, lexical search, GRPC, BM25, LLM RAG development, evaluation methods for retrieval, metadata design, retrieval concepts

Apis, PostgreSQL, Microservices, Tensorflow, Pytorch, Docker, Openshift, Python, LangChain, OpenAI models, vector databases, Claude, LangGraph, Gemini, LlamaIndex

Data Integration, Keras, API design, Tensorflow, Devops, Postgres, Linux, Nltk, AWS, Pytorch, Mssql, Kubernetes, Python, Azure, Gcp, Docker, test automation, Nlp, Redshift, GenAI, LLMs, spaCy

FastAPI, Python, Docker, Jenkins, Nlp, Object Oriented Programming, Llm, AWS AI Services, NLU, Generative AI

Python, Azure ML Studio, Aiml, Ci/Cd, Data Bricks

containerization , Python, Kubernetes, MLops, Security best practices, Monitoring and observability, Infrastructure as Code

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving

Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection