I build clean, responsive web interfaces and I'm working my way toward machine learning and AI engineering, with RAG systems and cloud deployment as my current focus.
- 💼 Frontend Developer Intern at Alerteefy: turning Figma designs into production UI and wiring up REST APIs for a vehicle alert and wrong-parking detection platform
- 🎓 MCA (online), Manipal University Jaipur · BCA in AI/ML, Galgotias University (2026)
- 🔭 Currently building RAG pipelines and serverless CI/CD on Google Cloud
- 🧠 Background in competitive programming in Python, with a strong grounding in DSA and OOP
- 📍 Patna, India
| Project | What it does | Stack |
|---|---|---|
| RAG Chatbot | Turns research papers into audience-specific slides, speaker scripts and tweet summaries, with page-level source citations and tracked edits | Python · LLMs · RAG |
| Terraform Cloud Run CI/CD | Weather app on Google Cloud Run with GitHub Actions CI/CD, Terraform-managed infrastructure, Secret Manager, keyless Workload Identity Federation and Cloud Monitoring alerts | GCP · Terraform · GitHub Actions |
| AI Resume & Skill Gap Analyzer | Analyzes a resume against a target role, detects missing skills and suggests a learning path | Python · NLP · HTML |
| Smart Expense Splitter | Android app that tracks shared spending in groups and works out who owes whom | Kotlin · Android · Firebase |
Languages
Frontend
Backend, data & cloud
AI / ML: NumPy · scikit-learn · RAG · LLM APIs · Reinforcement learning
- IBM: Machine Learning with Python
- Google for Developers: AI-ML Virtual Internship (AICTE)
- Tata (Forage): GenAI-Powered Data Analytics
- Cisco: CCNA, Introduction to Networks