containerization , Tensorflow, Devops, MLops, AWS, Pytorch, Python, Kubernetes, Azure, Gcp, DVC, Feast, Vertex AI, Airflow, Great Expectations, MLflow, Kubeflow, whylogs, scikit-learn, Evidently, Infrastructure as Code, SageMaker

Vertex AI (Google), Pytorch, Boost, Python, Gcp, Tensorflow, Devops, Prometheus, Terraform, Spark, Sci-Kit Learn, LangChain Development, Gemini

Data Science, AI ML, Generative AI, LLMs, model optimisation, MCP Multimodal RAG, LVM Agentic AI

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

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

Python, LLMs, AI ML concepts, APIs for AI ML services, Model evaluation, MCP Model AI Control Plane, LLM integrations, Prompt engineering

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

Computer Vision, Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing, Image Processing

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

Python development, AI ML OPS concepts, API-based system integration, CI CD lifecycle management