AI Platform Stabilization and Enhancement for Kaie

AKASH VASHISHTHA

AI Agent Developer

Backend Engineer

Fullstack Engineer

Supabase

Twilio

Artificial Intelligence

I stepped in to stabilize and advance Kaie’s core AI Agent platform, focusing on backend reliability, seamless user flows, and smarter LLM orchestration:

Backend Reliability & Integrations

Diagnosed and resolved Postgres connection leaks and slow queries to restore 99.9% uptime

Fixed Stripe payment failures, implemented idempotent webhooks, and ensured reliable billing flows

Overhauled onboarding logic and Auth0 configuration to eliminate signup friction and support SSO

Improved Twilio API and Edge functions for better responses

Edge Function Optimization

Refactored and streamlined Edge Functions code, reducing cold‑start latency by 50% and improving global response times

Introduced modular helpers and thorough type safety to make future edge deployments faster and more maintainable

AI Agent Improvements

Refactored LangChain pipelines for prompt templating and memory management, slashing average response latency by 40%

Migrated core orchestration to LangChain Cloud, enabling dynamic autoscaling and centralized logging

Tuned LLM prompts and chunking strategies for more accurate, context‑aware agent replies

This work not only fixed critical bugs but also optimized edge performance and laid the groundwork for Kaie’s next‑gen conversational AI capabilities.

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