Sql, Gcp, MLops, FastAPI, Azure, Python, AWS, embeddings, vector search, Generative AI, Langchain, NoSQL databases, vector databases, prompt engineering, LangGraph, LLM APIs, RAG

object detection , Numpy, Image Processing, Computer Vision, Python, Pandas, Image Classification, Scikit-learn

generative AI techniques, deep learning frameworks, AI applications using cloud AI services, production-quality AI pipelines, neural network architectures, on-premises infrastructure

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

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

Machine Learning, Artificial Intelligence, Python, Sql, Pytorch, Generative AI

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning

Ml, Deep Learning, PYTHON, Ai, GENERATIVE AI

Github, Python Scripting, Apache Airflow, Devops, Terraform, AWS, Air Flow, Infrastructure as Code, ML Flow, MLflow, Ray, Kubernetes EKS, ML Ops Frameworks