pruning , Tensorflow, MLops, Pytorch, Python, PEFT, Hugging Face, knowledge distillation, ONNX, LoRA, quantization, QLoRA

Git, Python, Azure ML Studio, MLflow, Azure Blob Storage, Azure DevOps Pipelines

triton , RTMP, Gstreamer, Ffmpeg, Pytorch, Webrtc, Python, ASR, async Python, ONNX Runtime, TTS, SRT, audio signal processing, TorchServe

ECS, Emr, Lambda, Docker, Python, EKS

BigQuery, Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, MLops, Docker, XGBoost, Flask, Keras, Python, Scikit-learn, GCP Vertex AI, Gemini, CatBoost

Nlp, python, Rest Api, django, Flask, Sql

data engineering , Deep Learning, Machine Learning, MLops, Python, AI-powered application development

AWS ECS, Sql, Databricks, Dynamodb, Apache Spark, Pyspark, Machine Learning, AWS, Redis, FastAPI, Python, Docker, Terraform, Apache Kafka, Flask, Git

Tensorflow, Pytorch, Docker, Apache Spark, Kubernetes, Python, AWS SageMaker, Scikit-learn, MLflow

Apis, Tensorflow, Pytorch, Python, data preprocessing, scikit-learn, model training, fairness, model deployment, bias detection, reliability in AI systems, feature engineering, cloud ML platforms, containerized environments, evaluation metrics