I build web applications — the kind that hold up under real traffic and don't fall apart when requirements change. My main focus is JavaScript (React, Vue, Node) and Python, though most of my recent work spans the full spectrum: from designing systems that won't melt under load to training models that actually produce actionable insights.
Web Development
- Frontend: HTML5, CSS3, JavaScript (ES6+), React.js, Vue.js, Vite, Tailwind CSS, Bootstrap
- Backend: Node.js, Express.js, Python, Django, RESTful APIs
- Stacks: MERN, MEAN
- Database: MongoDB, PostgreSQL, MySQL, Firebase, Supabase
- DevOps/Cloud: AWS, Vercel, Git, GitHub
Data Science & AI
- Machine Learning: Supervised/Unsupervised, Deep Learning, Reinforcement Learning
- AI Frameworks: TensorFlow, PyTorch, Scikit-learn
- Big Data: Apache Spark, Hadoop
- Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
- Cloud AI: AWS SageMaker, Google Cloud AI, Azure ML
- Specialized: NLP, Computer Vision, Generative AI, Statistical Modeling
- Architecture that scales: I lean toward clean, modular code — SPAs and SaaS products that are easy to hand off and easier to extend.
- ML that ships: I've taken models from notebook to production. I care about whether the thing actually works in the real world, not just on the test set.
- Agile without the buzzwords: I've worked in cross-functional teams, done the standups, reviewed the PRs, mentored junior devs. It's just how I work.
- Design-to-code: I'm comfortable in Figma and I know what makes a UI actually convert, not just look good in a mockup.