Work

Real systems built and deployed. Technical projects, tools, and implementations from hands-on engineering work.

Palaemon Systems is Sai Pendyala. 12 years of hands-on experience across IT, product, and engineering. I have done product design, UX, implementations, marketing, and engineering. I know how systems break in production because I have been the one fixing them. Through Palaemon Systems I take on consulting and freelance engagements across integrations, full-stack builds, automation, and AI powered tooling. Currently building technical projects to demonstrate what I can ship.

Projects

Full Stack AI-Powered Live

Customer Integration Simulator

February 2026

A production-grade webhook integration testing platform with real-time observability, probabilistic failure injection, and an AI debugger that analyzes failures and suggests fixes. Simulates real-world integrations from Stripe, Shopify, and CRM systems processing events through a 9-state lifecycle with automatic retry logic.

  • 9-state event machine with full audit trail
  • Exponential backoff retry engine with 1s, 2s, and 4s delays
  • AI debug assistant covering root cause, fix, and prevention
  • Real-time dashboard with 5s auto-refresh
  • Batch sending and scenario presets
  • Deployed on Railway, Vercel, and Supabase
Python FastAPI React PostgreSQL Tailwind CSS Gemini AI Railway Vercel
Full Stack AI-Powered Live

Contract Risk Analyzer

March 2026

An AI-powered contract review tool that analyzes PDF contracts in seconds and identifies risks, problematic clauses, and missing protections. Upload any contract and get a structured risk report with severity ratings, plain-English explanations, and actionable recommendations.

  • PDF parsing and text extraction
  • AI risk scoring from 1–10
  • Findings by category and severity
  • Missing clause detection
  • Plain-English explanations and recommendations
  • Deployed on Railway and Vercel
Python FastAPI React Tailwind CSS OpenRouter AI Railway Vercel
Full Stack AI-Powered Live

TicketAI — Support Ticket Classifier

March 2026

An AI-powered support ticket triage platform that classifies, prioritises, and analyses tickets in seconds. Upload a CSV or connect directly to GitHub Issues, Freshdesk, Linear, or Notion — TicketAI classifies every ticket and writes results back automatically with priority labels, AI summaries, and sentiment scores.

  • 4-platform integration: GitHub, Freshdesk, Linear, Notion
  • Auto-classification: category, priority, sentiment, confidence
  • Writeback: labels, comments, and priority fields updated automatically
  • Live streaming progress with real-time ticket results
  • Analytics dashboard with category and priority breakdown
  • Deployed on Render and Netlify
Python FastAPI React Tailwind CSS OpenRouter AI Render Netlify

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Based in Toronto, Ontario, Canada
Serving clients across North America