Aquashield
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Summary
An intelligent IoT-based water management system designed to tackle wastage, dry pumps, and contamination risks in homes and communities! 💧🔧
About
Highly analytical AI and Machine Learning Engineer with 1 years of experience designing, developing, and deploying robust machine learning models and scalable AI solutions. Proven ability to optimize algorithms, enhance data pipelines, and drive significant improvements in predictive accuracy and operational efficiency across diverse industries. Seeking to leverage deep expertise in deep learning, MLOps, and cloud platforms to innovate and deliver high-impact AI products.
Languages
English
Projects
Skills
Machine Learning Frameworks
TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Hugging Face Transformers.
Deep Learning
CNNs, RNNs, LSTMs, Transformers, Generative Models, Transfer Learning, Model Quantization, Computer Vision, Natural Language Processing (NLP).
Cloud Platforms & MLOps
AWS (SageMaker, S3, EC2, Lambda, Glue), Azure ML, Google Cloud Platform (AI Platform, BigQuery, Dataflow), Docker, Kubernetes, MLflow, CI/CD, Git, Data Version Control (DVC).
Core ML Concepts
Supervised Learning, Unsupervised Learning, Reinforcement Learning, Feature Engineering, Model Evaluation, Hyperparameter Tuning, Statistical Modeling, Bias-Variance Tradeoff.