Computer Science undergraduate focused on building real, usable software systems rather than academic-only projects.
I work across full-stack development, applied AI, and system design, with a strong interest in product engineering.
I care about:
- Solving real workflow problems
- Writing clean, maintainable code
- Designing systems that scale beyond coursework
Languages
- Java
- JavaScript
- Python
Backend
- Node.js, Express (learning & applying)
- RESTful APIs
Frontend
- React (Vite)
- Tailwind CSS
- Basic UI/UX (Figma)
Databases
- MongoDB
- Firebase
AI / ML
- Applied Machine Learning (classification, CNNs)
- GenAI API integration
Tools
- Git & GitHub
- VS Code
- Postman
- Netlify / Vercel
A professor-first academic workflow system designed to bring structure, continuity, and intelligence to teaching.
Highlights
- Timeline-based lesson planning
- Attendance & performance analytics
- AI-assisted assessment generation
- Compliance-ready academic records
AI-powered platform to generate legitimate, deployment-ready portfolios instead of static templates.
Focus
- Real project representation
- Clean UI and fast iteration
- AI-assisted content structuring
Machine learning–based system to detect counterfeit medicine packaging using image analysis.
Tech
- CNN / MobileNet
- Image preprocessing
- Explainable visual feedback
- Web interface for real-time verification
- Strengthening DSA fundamentals (arrays, strings, linked lists, binary search)
- Building production-grade backend services
- Improving system design and architectural thinking
- Applying AI where it adds real value
- Internships / entry-level roles in:
- Software Development
- Backend / Full-Stack Engineering
- Applied AI projects
- Teams that value:
- Clear thinking
- Ownership
- Learning by building
- LinkedIn: https://www.linkedin.com/in/sahithi-jalaparti-a7a331214/
- Email: sahithijalaparti@gmail.com
Build systems that people can actually use. Everything else is secondary.