Github, Sql, Git, MLops, Docker, Databricks, Kubernetes, Python, AWS, CI CD, Prefect, R

Machine Learning, Kafka, Sql, MLops, Docker, Spark, Python, Kubernetes, AWS, Ai, anomaly detection, Real-time data processing, Time-series forecasting

Machine Learning, PostgreSQL, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apis, Git, Gcp, Opencv, MongoDB, FastAPI, Azure, Computer Vision, Hugging Face, GPU-based model training, TensorRT, MLflow, ONNX, LangGraph, OpenAI Agents SDK, LangChain, Weights Biases, CrewAI, LLMs, Agentic AI, DVC, Google ADK

Github, Pyspark, Apache Spark, AWS CloudWatch, AI ML, Jenkins, Linux, Terraform, Bitbucket, Python, AWS, Generative AI, AWS EMR

object detection , Tensorflow, Computer Vision, Pytorch, MLops, Opencv, Python, Tracking, data pipelines, facial recognition, defect detection, scalable deployment strategies

Tensorflow, Pytorch, Python

Pytorch, Python, ML concepts, ROS2

Machine Learning, Pandas, Docker, Spark, Sql, Python, Kubernetes, Generative AI, LLM technologies

MLops, Spark, Databricks, Python, Kubernetes, AWS, rollback, deployment strategies, experiment tracking, ML infrastructure, versioning, embedding retrieval systems, classical ML models, Ray, LLM agent workflows, reproducible training data, model validation, model registry, Production Monitoring, NLP models