Programming Languages
Proficiency levels based on project complexity and practical application
Agentic & Generative AI
Building reasoning systems with orchestration, retrieval, and tool-use
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
Docker, Vercel, Render, Google Cloud Run, Firebase Hosting, Cloud Build, and GitHub Actions for CI/CD and serverless deployment.
Domain Expertise
Healthcare AI, Bioinformatics, and Scientific Imaging (DICOM). Also: applied NLP, multi-agent reasoning, and intelligent automation systems.
Web & API Development
- FastAPI, Flask, RESTful APIs
- Pydantic models & CORS
- React, Vite, Tailwind CSS, Axios
- Frontend-backend integration
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 applied AI systems. Here's what I'm currently learning:
Currently Exploring
- Advanced LLM fine-tuning: efficient adapters, safety, and evals
- MLOps automation: CI/CD, model monitoring, and observability
- Scalable RAG systems: vector search, chunking, and evaluation
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.