01
Machine Learning
Supervised and unsupervised learning, model training, evaluation, and hyperparameter tuning for classification, regression, and clustering tasks.
Scikit-learnXGBoostPyTorch
02
Deep Learning
Designing and training neural networks — CNNs, RNNs, Transformers — for complex pattern recognition and sequence modeling tasks.
TensorFlowKerasCUDA
03
NLP & LLMs
Text classification, sentiment analysis, summarization, and fine-tuning large language models for domain-specific applications.
HuggingFaceLangChainBERT
04
Computer Vision
Object detection, image segmentation, and visual recognition pipelines using state-of-the-art architectures.
OpenCVYOLOResNet
05
MLOps & Deployment
Model versioning, CI/CD pipelines for ML, containerization, and serving models at scale via REST APIs.
DockerFastAPIMLflow
06
Data Engineering
Building robust data pipelines, feature engineering, and preprocessing workflows that feed high-quality data into ML systems.
PandasNumPySQL