Hello, I’m Vaishnavi Nayak — I design and build intuitive digital experiences that solve real problems. Skilled in UI/UX design, web development, and machine learning, I merge creativity with technical expertise to deliver impactful, user-centered solutions. Proficient in Figma, HTML, CSS, JavaScript, PHP, and responsive design, I thrive at the intersection of design, development, and emerging technologies, continuously learning to expand my toolkit and bring ideas to life.
- 🎓 Third-year Computer Engineering student @ PCCE, Verna
- 💡 Skilled as a UI/UX Designer, Web Developer, and ML Engineer, with strong product thinking
- 💻 Experienced with HTML, CSS, JavaScript, PHP, and API integrations
- 🎨 Proficient in Figma, Adobe XD, and responsive web design
- 🧠 Thrive at the intersection of design, development, and machine learning
- 🌱 Continuously learning new tools, frameworks, and ML techniques to expand my capabilities
- 🤝 Love collaborating with cross-functional teams and bringing ideas to life
Design & Prototyping: Figma · Adobe XD · Framer · Miro · Canva
Frontend Development: HTML · CSS · JavaScript · React · Bootstrap · Tailwind CSS · Responsive Design
Backend & ML Tools: PHP · APIs · SQLite · Postman · Python · scikit-learn · TensorFlow (ML workflows)
Collaboration & Productivity: Git · GitHub · Notion · VS Code · Agile & Cross-functional teamwork
| Project | Description |
|---|---|
| SkillConnect - Education Hub | An education hub built using HTML, CSS, JavaScript, PHP, and APIs — connecting learners and educators through an intuitive interface. |
| Ecolink - Environmental Reporting System | A web platform for collecting, validating, and visualizing environmental data from field reports and sensors. Supports incident reporting, geolocated maps, CSV uploads, automated alerts, and downloadable compliance reports for agencies. |
| RAG GPT – Retrieval-Augmented Generation AI | A Retrieval-Augmented Generation (RAG) system built with FastAPI, OpenAI embeddings & LLMs, and FAISS vector store. This project allows you to ingest text or PDF documents, create a searchable vector database, and generate AI responses based on context. |
Explore more in my repositories »
⭐ “Design with empathy, code with purpose.”