Programming Languages
Proficiency levels based on project complexity and practical application
Machine Learning & Deep Learning Frameworks
Expertise in industry-leading ML/DL frameworks and libraries
Data Science & Analytics Tools
Comprehensive toolkit for data manipulation, analysis, and visualization
Specialized Libraries & Tools
Domain-specific libraries for computer vision, NLP, and bioinformatics
Cloud Platforms & MLOps
Experience deploying and managing ML models in production
Domain Expertise
Specialized knowledge in healthcare AI and bioinformatics
Healthcare AI
- Medical imaging analysis (MRI, CT, X-ray)
- Clinical data prediction models
- DICOM image processing
- Healthcare data privacy (HIPAA compliance)
Bioinformatics
- Protein sequence analysis
- Genomic data processing
- Biological database queries
- Computational biology workflows
Computer Vision
- Image classification & segmentation
- Object detection & tracking
- Feature extraction & engineering
- Data augmentation techniques
Natural Language Processing
- Text classification & sentiment analysis
- Named entity recognition
- Transformer models & fine-tuning
- LLM integration & prompt engineering
Machine Learning
- Supervised & unsupervised learning
- Feature engineering & selection
- Hyperparameter tuning
- Model evaluation & validation
Research Methodology
- Experimental design & analysis
- Statistical hypothesis testing
- Scientific writing & publication
- Literature review & implementation
Professional Skills
Essential skills for effective collaboration and project success
Technical Communication
Ability to explain complex technical concepts to both technical and non-technical audiences. Experience presenting research findings and writing technical documentation.
Collaboration
Strong team player with experience working in cross-functional teams. Skilled at code reviews, pair programming, and contributing to collaborative projects.
Analytical Thinking
Strong problem-solving skills with systematic approach to debugging and optimization. Ability to break down complex problems into manageable components.
Continuous Learning
I'm committed to staying current with the latest developments in AI and machine learning. Here's what I'm currently learning:
Currently Exploring
- Large Language Models (LLMs): Advanced prompt engineering, fine-tuning techniques, and building RAG systems
- Reinforcement Learning: Deep RL algorithms and applications in robotics and game AI
- MLOps Best Practices: Advanced deployment strategies, model monitoring, and A/B testing
- Federated Learning: Privacy-preserving ML for healthcare applications
- Explainable AI (XAI): Techniques for interpretable ML in critical applications
Learning Resources I Use
Let's Build Something Amazing
Interested in my skills? Let's discuss how I can contribute to your team and projects.