Name: Nivritha
Role: AI Engineer & Full Stack Developer
Education: B.Tech CSE @ Anurag University
Focus:
- Generative AI
- Machine Learning
- NLP & RAG Systems
- Full Stack Engineering
- Backend Development
Currently Building:
- AI-powered applications
- Real-time intelligent systems
- Scalable backend architectures💡 Passionate about building intelligent, scalable, and production-ready systems integrating AI with modern software engineering.
⚡ Experienced in developing AI applications using LLMs, NLP, MERN Stack, Spring Boot, and scalable backend architectures.
🌱 Interested in solving real-world problems using Generative AI, automation, and intelligent workflows.
| AI & Machine Learning | Backend & APIs | Full Stack Development |
|---|---|---|
| LLM Applications | Spring Boot APIs | MERN Stack |
| Prompt Engineering | REST APIs | React.js |
| NLP Systems | FastAPI & Flask | Responsive UI |
| RAG Pipelines | Authentication Systems | Real-Time Apps |
| Deep Learning | Microservices | Scalable Frontends |
| 🏅 Achievement | 📌 Description |
|---|---|
| 🥇 National-Level Hackathon Winner | Built KPI-driven urban emissions dashboard |
| 🥈 Ideathon Runner-Up | Presented scalable real-world innovation |
| 🎯 Hackathon Finalist | Microsoft x Reskill & Adobe India |
| 🚀 OpenAI Buildathon Selection | Selected at state level |
| 🌟 Graphs Camp Selection | Selected among 80,000+ applicants |
| 📜 Patent Filed | “AI Virtual Professor” intelligent learning system |
| Artificial Intelligence | Software Engineering | Data & Analytics |
|---|---|---|
| Generative AI | Backend Engineering | Data Visualization |
| Machine Learning | REST API Development | KPI Dashboards |
| NLP & Transformers | Full Stack Systems | Business Analytics |
| RAG Systems | Scalable Architectures | Reporting Solutions |
| AI Automation | Cloud-ready Applications | Data-driven Insights |
| Domain | Expertise |
|---|---|
| 🤖 Generative AI | Advanced |
| 🧠 Machine Learning | Advanced |
| 🌐 Full Stack Development | Advanced |
| 🔎 NLP & RAG Systems | Intermediate |
| ⚙️ Backend Engineering | Intermediate |
| 🚀 Open Source | Active Contributor |
✓ Build scalable and maintainable systems
✓ Focus on impactful AI-driven products
✓ Prioritize performance and usability
✓ Write clean production-ready code
✓ Learn continuously and adapt quickly
✓ Engineer solutions for real-world problems
Interests:
- Generative AI
- Machine Learning
- NLP
- Backend Engineering
- Full Stack Development
- Open Source
Current Focus:
- AI-powered applications
- Intelligent automation systems
- Scalable backend architectures
- Real-time AI products
Career Vision:
- Building impactful AI systems at scalegraph LR;
A[Idea] --> B[Research]
B --> C[Design]
C --> D[Development]
D --> E[Testing]
E --> F[Deployment]
F --> G[Optimization]




