| Machine Learning | Expert | Built predictive models using TensorFlow, PyTorch, and Scikit-learn. Developed AI-driven applications for medical diagnostics. |
| Deep Learning | Expert | Worked on CNNs, RNNs, and Transformer-based models for NLP and computer vision projects. |
| Reinforcement Learning | Intermediate | Applied RL algorithms to develop autonomous decision-making systems. |
| Data Science | Advanced | Feature engineering, predictive analytics, and large-scale data processing using SQL, Pandas, and Spark. |
| AI & NLP | Advanced | Developed NLP models using BERT, GPT, and Transformer-based architectures. |
| Computer Vision | Advanced | Implemented image classification, object detection, and segmentation models. |
| Data Analytics | Expert | Experience in data visualization, statistical analysis, and business intelligence tools. |
| Systems Administration | Intermediate | Managed cloud and local server environments, automation, and infrastructure monitoring. |
| Cloud Computing | Intermediate | Deployed AI models using AWS, GCP, and Azure for scalable production. |
| Data Engineering | Advanced | Created ETL pipelines and optimized data workflows with Apache Spark and Kafka. |
| Full-Stack Web Development | Advanced | Built modern web applications using Next.js, React, Flask, and PostgreSQL. |
| Big Data Analytics | Advanced | Processed and analyzed large datasets using Hadoop, Spark, and Dask. |
| Explainable AI | Intermediate | Integrated interpretability methods such as SHAP and LIME to AI workflows. |