Cloud Storage, Git, Python, spaCy, scikit-learn, Transformers, RASA Framework, Dialogflow

Machine Learning, Neural Networks, Tensorflow, MLops, Pytorch, XGBoost, Python, Kubernetes, classical ML algorithms, experiment tracking, scikit-learn, model versioning, LightGBM, Hugging Face, generative models, reproducible pipelines, cloud ML infrastructure, CI CD for ML

Cloud Storage, Git, Python, spaCy, scikit-learn, Transformers, RASA Framework, Dialogflow

PostgreSQL, Sql, Numpy, Pandas, Docker, XGBoost, Python, AWS, scikit-learn, LightGBM, CatBoost, Evidently

Tensorflow, Machine Learning, Git, Pytorch, Agile Methodologies, Image Processing, Jira, Python, Deep Learning, TensorFlow Lite

Deep Learning, Python, Prompt engineering, BLEU, Vector databases, Human evaluation, F1, Accuracy, Transformer-based frameworks, Embedding models, Model evaluation methodologies, ROUGE, RAG architectures

model selection , Matplotlib, Pandas, Numpy, Python, information extraction, large language models, feature engineering, machine learning frameworks and libraries, entity recognition, data preprocessing, AI agent design, vectorized databases, text-based NLP, unstructured search engines

Kafka, Tensorflow, Numpy, Nlp, Pytorch, Flask, Python, Sql, Rabbitmq, Pandas, FastAPI, Keras, Git, Scikit-Learn, BERT, LLMs, RAG, LangChain, Recommender engines, Hugging Face libraries, anomaly detection

Machine Learning, C, Spi, Gpio, Data Visualization, Raspberry Pi, Statistical Analysis, Python, Scikit Learn, Feature Engineering, TensorFlow Lite for Microcontrollers, Model Inference Optimization, Signal Processing, Quantization, Data Pipeline Development, Linux Raspbian OS, anomaly detection, Model Pruning, Hyperparameter Tuning