⚡ Structured, Semi-Structured, and Unstructured data 📝 crunch and visualization from Dataset gathering to serving it.

⚡ Experienced in the AI-driven 🤖 product development cycle.

⚡ Create/Manage Data Processing Pipeline 🎢 and Deep Learning Infrastructure for the product.

⚡ Build, Train, Evaluate, and Test the Machine Learning Models in Tensorflow, Keras, Pytorch, and similar libraries & framework.

⚡ Design NLP and Computer-Vision based deep learning models' architecture with critical details.

⚡ Experienced in working with real-time, gigantic data. 🏭

⚡ Transform the latest research (SOTA) in AI into the product.

🎨 Apply mathematics to create neural networks that can work as an inspired system. Yes, I do write code for all matrix manipulation.

🚼 Do babysitting of machine learning models till it becomes production-ready.

🚃 I do write code for training models with multiple GPUs, hyperparameter search, babysitting of training, inference, model profiling, model debugging, optimize for hardware.

⚡ Create backend for Machine Learning models to serve in a highly scalable environment.

⚡ Manage all databases or additional support to create the backend of the product that also comprises machine learning models.

⚡ Deploy backend on cloud services with multi GPUs in a highly optimized way.

⚡ Create CI/CD infrastructure development for machine learning engineers to train, test, and fluidly deploy the models.

⚡ An Infrastructure that can monitor model performance, the model bias in inference, and version control of the models.

⚡ Plug and play of models and backend configuration with slack and similar services to control the production setup without touching the code.