I’m a MSc Computer Science student with 3+ years of experience in Deep Learning and Computer Vision. I specialize in developing robust AI systems that bridge cutting-edge research with real-world applications.
🔬 What I’ve Worked On
- Quantum ML: Simulated hybrid AI–quantum models for pattern retrieval, demonstrating the feasibility of quantum-enhanced retrieval methods.
- Automotive: Designed and deployed multimodal anomaly detection systems (100% recall, >90% precision) for quality assurance.
- Retail: Developed zero-shot object detection systems (>80% accuracy) for retail inventory management.
- Healthcare: Delivered medical image segmentation models (>90% AUC) and human-in-the-loop pipelines within ±8% of research benchmarks.
- Software Engineering: Built a semantic search engine (98% accuracy) to enhance developer productivity.
🛠️ Skills & Tools
- Programming: Python, C++
- Deep Learning / AI Research: PyTorch, TensorFlow, Keras, HuggingFace
- Computer Vision: OpenCV, scikit-image, OpenVINO
- ML Ops & Deployment / Web Frameworks: Docker, Flask, MLflow, Kubernetes, Git
- Cloud & Infrastructure: AWS (SageMaker), GCP (Vertex AI)
- Data Science & Visualization: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Plotly
- Environment & Tools: Linux, Figma
🌱 Interests
I’m passionate about interdisciplinary AI applications to solve real-world challenges and translate AI insights into actionable decisions for optimizing critical workflows.
📫 Let’s Connect
💡 Always open to collaborations on AI, Computer Vision, and Applied Machine Learning projects.
Check out my personal website for more details.