- ๐ B.Tech in Computer Science & Engineering @ IIIT Agartala (CGPA: 8.25/10)
- ๐ง Linux Foundation LiFT Scholar 2026 (Awarded Shubhra Kar Scholarship โ Global Top 500)
- ๐ UN Open Science Week (Top 300 Globally, UN HQ, NY) & Flipkart GRiD 7.0/8.0 Semifinalist (Top 5% of 400,000+)
- ๐ Building High-Concurrency Distributed Systems, RAG Architectures & Cloud-Native Platforms
- ๐ Active Open-Source Contributor across CNCF (Prometheus, Knative, Cilium) & Govt. of India (OpenForge)
- ๐ฅ GDG Open Source Lead & ICPC AlgoQueen Mentor at IIIT Agartala
- ๐ฌ Ask me about System Design, Distributed Caching, C++, Go, MERN, WebSockets & Vector Search
- ๐ซ Reach me at: shivam10palpal@gmail.com
- โก Fun fact: I turn complex system bottlenecks into low-latency, scalable microservices
Contributed official system architecture and technical documentation to the Government of India OpenForge platform for APAAR (Automated Permanent Academic Account Registry) under the Ministry of Education.
- APAAR Authentication Pipeline & Security Overview
- APAAR Core System Architecture & Service Communication
- OpenForge National Technical Workshop Outcomes Summary
- State-wise Technical Workshop Outcome Pages (Arunachal, HP, MP, Rajasthan, Sikkim)
- ๐ GitHub Repository: gov-openforge-contributions
- โ Public Verification (OpenForge Wiki): OpenForge Wiki Verification
โก CodeSentinel AI โ Distributed RAG Code Intelligence Platform
- Architecture: Asynchronous worker pipeline using BullMQ & Redis, decoupling AST parsing from API threads to sustain sub-100ms latency and 99.8% job reliability.
- Vector Search: Integrated Qdrant Vector DB (1536-d HNSW indexing) with payload filtering and diffHash Redis caching, cutting LLM costs by 75% with
<120msretrieval. - Tech Stack:
TypeScriptยทReact 18ยทExpress.jsยทMongoDB AtlasยทRedisยทBullMQยทQdrantยทDockerยทSocket.io
๐ฅ MediCare โ Scalable Enterprise Healthcare Platform
- Scalability: Enterprise platform serving 3 distinct user roles with Google OAuth 2.0, 30+ modular REST APIs, and MongoDB indexing on
sessionIdaccelerating queries by 40%. - Payments & Deployment: Automated payment workflows via Stripe API and webhooks, deployed across Vercel and Render maintaining 99.9% uptime.
- Tech Stack:
MongoDB AtlasยทExpress.jsยทReact.jsยทNode.jsยทJWTยทGoogle OAuth 2.0ยทStripe APIยทTailwind CSS
๐ก AlgoRadar โ Concurrent Analytics & Data Ingestion Engine
- Concurrent Ingestion: Multi-threaded client pool querying external services concurrently, fetching 2,500+ live records in under 1.5 seconds.
- Caching: Multi-tier disk caching with automated TTL eviction (6h/24h/7d) across 1,200+ records, reducing redundant network calls by 80%.
- Tech Stack:
PythonยทStreamlitยทpandasยทNumPyยทRESTful APIsยทGraphQLยทscikit-learnยทpytest
โก Keep coding, keep building, and keep scaling ๐



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