I'm an AI Engineer & Data Scientist driven by the pursuit of building intelligent systems that solve real-world problems.
With a strong foundation in Data Science, Machine Learning, Deep Learning, Transformers, and Generative AI, I strive to push the boundaries of what's possible with data and models.
- Artificial Intelligence Engineering
- Data Science & Analysis
- Data Engineering Pipelines
- Deep Learning & Neural Networks
- Computer Vision & Image Understanding
- Transformers & Foundation Models
- Generative AI & Synthetic Data
- 💻 Languages: Python, SQL, PHP, JavaScript
- 🧱 Frameworks: PyTorch, TensorFlow, Scikit-learn, FastAPI, Streamlit
- 📦 Tools: Pandas, NumPy, HuggingFace Transformers, OpenCV, DVC, Airflow
- ☁️ Cloud: AWS (S3, Lambda, SageMaker), GCP, Google Colab
- 🧰 DevOps: Docker, Git, MLflow, VSCode
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gen-ai-lab: Building and fine-tuning generative AI models for text, code, and multimodal content using LLMs, transformers, and diffusion-based architectures. -
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mlops-foundation: Designing production-grade ML systems with full lifecycle support, including reproducibility, monitoring, and CI/CD using DVC, MLflow, and GitHub Actions. -
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vision-models-suite: Developing advanced computer vision pipelines for object detection, classification, and segmentation using PyTorch, OpenCV, and YOLOv8. -
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nlp-transformers-hub: Training and evaluating transformer-based models for natural language processing tasks such as summarization, question answering, and NER. -
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multimodal-intelligence: Experimenting with multimodal AI systems that integrate vision, language, and audio through cross-modal transformers and joint embedding spaces.
⭐️ Thank you for stopping by! Feel free to explore my repositories, leave a ⭐, or open a PR. Let’s build the future with AI!