pruning , MLops, Performance Monitoring, Hugging Face, Knowledge Distillation, Quantization, Model Optimization, SLM Development, Edge Deployment

Tensorflow, Pytorch, Python, Docker, ML fundamentals, MLOps tools, Airflow, MLflow, distributed training, evaluation metrics, experiment tracking, ML pipelines, Weights Biases, Statistics, Optimization, architectures

Tensorflow, Machine Learning, Predictive Analytics, Pytorch, Visual Inspection, Predictive Maintenance, AI agents

Machine Learning, MLops, ML pipelines, Experiment tracking, Model versioning, Hyperparameter tuning

Api Development, AWS, Pytorch, FastAPI, Python, Docker, Flask, SpaCy, machine learning fundamentals, search and indexing systems, Langchain, MCP, Agentic AI, DSPy, Generative AI, LLM Evaluation, LangGraph

Reactjs, FastAPI, Python, multi-agent frameworks, LLMs, AI Agents

Tensorflow, Sql, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, LLMs, Airflow, MLflow, data engineering concepts, Scikit-learn, Hugging Face, vector databases, Weaviate, LangChain, transformer models, Pinecone, OpenAI API, LangGraph

Pytorch, MLops, Machine Learning Algorithms, inference optimizations, quantization techniques, SGLang, vLLM

Java, Unit Testing, Python, code tuning, core AI ML techniques and algorithms, Profiling, time and space-efficient algorithms, OOP Design Patterns