AI Systems• RAG Pipelines • Backend Development + App development(Android Studio)
- ⚙️ AI-powered systems (not just models)
- 🧠 Retrieval-Augmented Generation (RAG) pipelines for real-world problems
- 📱 Mobile + backend integrated AI applications
- 🔄Interested in edge deployment
- Built a dual-agent RAG pipeline for debugging Java & Python logs
- FAISS vector search + sentence-transformers → sub-second retrieval
- Designed evaluation harness for prompt reliability testing
- Stack: FastAPI, FAISS, Ollama (Mistral), Streamlit
🔗 https://github.com/ishani2025/LogSentinel
- Android-based system for EPR credit verification
- Implemented pHash duplicate detection to reduce fraud attempts
- Backend: Flask + SQLite with immutable audit logs
- Integrated real-world camera validation workflows
🔗 https://github.com/ishani2025/AuditOS
- Building a clinical decision-support assistant
- Designing pipeline to reduce context noise in medical data
- Future integration: ABHA (ABDM) + UHID systems
- Focus: safe structured outputs (JSON validation)
- Gamified platform to visualize Git workflows
- React + Unity integration for 3D interaction
- Focus: improving onboarding for open-source contributors
- Image-based matching using OpenCV
- Google OAuth authentication
- SQLAlchemy-based database design
🔗 https://github.com/ishani2025/LOSTANDFOUND
- 🧠 Built multi-agent AI system (RAG) — not just single-model usage
- ⚙️ Experience with vector databases (FAISS) and LLM pipelines
- 📱 Strong mobile + backend integration capability
- 🔄 Focused on system reliability + evaluation frameworks
- 📊 Practicing DSA (CSES-100+ problems solved)
- 🥈 2nd Place — Internal Quest (CodeChef VITC) for AuditOS
- 💻 Core Member — Project Department, CodeChef VITC
- Moving from:
ML Projects → AI Systems → Edge AI → AI + Chip Systems
Target roles: AI Systems Engineer AIoT / Edge AI Engineer Backend AI Infrastructure 📫 Connect
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