Vishesh Paliwal

• Optimized Apache Druid segment layout and ingestion to sustain 5B+ logs/week, absorbing traffic spikes from 20M to 300M logs/hour (a 1400% surge) without query degradation.
• Contributed to the request–response evolution capability for Kong's observability platform, enabling teams to track plugin mutations and all external calls for a request.
• Built end-to-end test coverage and authored architecture, regional deployment, and disaster recovery (DR) diagrams to improve system reliability and onboarding.

• Avira, a RAG chatbot for bioprocess scientists. Query decomposition, Gemini File Search for retrieval, page-accurate citations, three retrieval modes (strict, augmented, rewrite).
• A multi-agent debate system on AgentScope: 7 specialist agents, moderator-driven consensus, persistent cross-session memory via ReMeLight + ReMe.
• Cloud Run deployments, PostHog AI for tracing.

• CI/CD on CircleCI + a GitHub Probot app. Deploy lead time down 25%.
• Fullstack observability with OpenTelemetry and Kloudmate. MTTR down 30%.
• HTML export service for motion ads, with a recovery-based DP compression pass. Output stays under 150KB without visible quality loss.
• PSD and Figma import plugins. Layer-by-layer parsing of images, text, and shapes into Rocketium's schema.

• Mentored 52 students through Data Structures & Algorithms.

Next.js · TypeScript · Drizzle · Anthropic

• An AI mentor that takes you from beginner to expert in any technical subject — powered by the web's best articles and videos, not LLM knowledge. Builds a milestone roadmap, scouts HN, Reddit, YouTube, and the web, and recommends only what is worth your time. Decline with a reason and it replans; optional quizzes check what stuck.

Kotlin Multiplatform · Compose

• An AI jury simulator for Android and Desktop. Multi-agent personas, streaming responses, persistent debate history. A side project.

TypeScript

• A small RAG pipeline I built while learning - chunking, embedding, retrieval, generation.

TypeScript

• An n8n community node that exposes memu's memory primitives to automation workflows.

CGR 9.14

CGPA 7.6