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┌─────────────────────────────────────┐
│ SYSTEM IDENTITY │
├─────────────┬───────────────────────┤
│ name │ Suprith │
│ role │ Backend Engineer │
│ targeting │ SWE · Backend · Cloud │
│ core │ DSA · System Design │
│ │ APIs · Databases │
│ secondary │ Full Stack · AI sys │
│ education │ B.E. AIML · MSRIT │
│ │ Bengaluru · 2nd Year │
│ location │ Bengaluru, India │
└─────────────┴───────────────────────┘ |
┌─────────────────────────────────────┐
│ CURRENT BUILD │
├─────────────┬───────────────────────┤
│ status │ ● ONLINE │
│ learning │ System Design │
│ │ Cloud Architecture │
│ │ Distributed Systems │
│ interests │ Backend Infra │
│ │ High-scale APIs │
│ │ DB Internals │
│ available │ Internships · SWE │
└─────────────┴───────────────────────┘ |
⚡ I build backend systems that scale — clean APIs, efficient data pipelines, cloud-native architecture. I think in algorithms first, then infrastructure, then product.
🔵 CivicLens · Full Stack · Backend · AI-integrated
AI platform democratizing access to government policy at scale. Engineered a FastAPI async backend with full policy lifecycle management — upload, versioning (snapshot-on-write), soft delete, and audit trails. Built a RAG pipeline (FAISS vector search + GPT-4o) with TTL caching and a deterministic eligibility rule engine. 210+ tests, structured logging middleware, Alembic migrations.
🔴 InfraEye · Google Solution Challenge · Cloud · AI
Google Solution Challenge — Multi-modal AI system for municipal infrastructure risk prioritization in informal urban settlements. Designed the data pipeline fusing mobile computer vision, satellite remote sensing, and gradient-boosted ML to flag high-risk sites before failure. Cloud-deployed with Firebase backend for real-time field data sync.
⚪ AlgoVault · Placeholder · Update Soon
Curated DSA implementations, DP patterns, and system design writeups — personal reference and interview prep resource.
LANGUAGES
BACKEND & DATABASES
CLOUD & DEVOPS
FULL STACK & AI
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║ backend-first · cloud-native · always shipping ║
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