data preparation , model development , Numpy, Machine Learning, Pandas, Python, Data preprocessing, Feature engineering

Tensorflow, Pytorch, Spark, Python, Airflow, Kubeflow, MLOps tooling, MLflow

Deep Learning, Tensorflow, Pytorch, Python, AWS, Git, Computer Vision, Gcp, Opencv, Azure, SAM, TensorRT, ONNX, recognition models, OpenVINO, multimodal AI, AI systems engineering, Faster R-CNN, DETR, LLMs, deep learning frameworks, cloud platforms, YOLO, inference optimization, edge AI deployments

model selection , Numpy, Pandas, XGBoost, Python, Feature selection, SHAP, scikit-learn, Polars, Data leakage prevention, PCA clustering, LightGBM, Overfitting regularization, Time-series validation, Regression, Feature engineering, Gradient boosting, Statistical reasoning, Classification, CatBoost, Tree-based models, Model evaluation

Machine Learning, React, Pytorch, Python, Sql, AWS, Statistics and Probability, Scikit-learn, APIs and integration

Computer Vision, Tensorflow, Opencv, Pytorch, Gcp, Git, Flask, PostgreSQL, Machine Learning, AWS, FastAPI, Python, Azure, Docker, Apis, MongoDB, LangChain, LLMs, Hugging Face, CrewAI, DVC, LangGraph, TensorRT, ONNX, MLflow, Google ADK, GPU-based model training, OpenAI Agents SDK, Weights Biases, Agentic AI

object detection , Tensorflow, Computer Vision, Pytorch, MLops, Opencv, Python, Tracking, data pipelines, facial recognition, defect detection, scalable deployment strategies

secure coding , Machine Learning, System Design, API design, Data Modeling, automation, data handling practices, observability