Arun Chaitanya — Software Engineer
Last year I built a system where a phone rings, an AI agent picks up, talks to the caller in natural language, qualifies their request, pulls data from a knowledge base, and either resolves the issue or books a meeting — all in real time, over a real phone line. No human involved. Twilio SIP → LiveKit WebRTC → Gemini 2.0 Flash. Self-healing infrastructure underneath that detects deadlocks and recovers automatically. That's GoOmni — an enterprise AI platform I built at Rex Black Inc. 250+ API endpoints. 120+ serverless workers. Multi-agent orchestration that decomposes a problem into a parallel execution graph and runs it. Hybrid semantic search across Qdrant and Google Vertex AI. Multi-tenant isolation at every layer. Building that taught me something: most people selling "AI agents" have never built the infrastructure to run them in production. They've never dealt with WebSocket reconnection, Lambda cold starts at scale, or what happens when your voice pipeline drops a packet mid-sentence. I have. And I think that's the gap in the market right now. So on top of client work, I'm building GetOpplify — my own AI platform where businesses create entire sales funnels through conversation with a multi-agent system. I built the agent framework myself (DeepAgents, ported from Python to TypeScript), wired it into LangGraph, and made it work across Claude, GPT-5, and Gemini. For clients, I build three things: → Voice AI Agents — the full telephony pipeline. Inbound, outbound, WhatsApp, web. Your customers call a real number and talk to an AI that actually resolves things. → Enterprise Automation — multi-agent orchestration, RAG pipelines, workflow engines, payment processing with Stripe Connect, and ERP integration. I've built systems managing 25,000+ member records with automated sync running every 60 seconds. → AI-Native Products — if you want to build a product with AI at its core, not bolted on, I've done it from database schema to deployed infrastructure. LangGraph Certified. IIT Kharagpur (BTech+MTech). 5+ years of production software. Building for founders and CTOs in the US, Canada, UAE, and Australia. DM me → I read every message.
Stackforce AI infers this person is a SaaS architect specializing in AI-driven solutions and enterprise automation.
Location: Bengaluru, Karnataka, India
Experience: 10 yrs 9 mos
Skills
- Ai Agents
- Enterprise Automation
- Ai-native Products
- Front-end Development
Career Highlights
- Built a real-time AI voice agent system.
- Architected a multi-tenant enterprise AI platform.
- Developed privacy-focused analytics with AI insights.
Work Experience
Rex Black Inc
Lead Software Engineer (2 yrs 3 mos)
FanCraze
Senior Software Developer (1 yr 10 mos)
ZestMoney
Frontend Web Developer (1 yr 8 mos)
Rapiscan Systems
Internship Trainee (2 mos)
TRENDYWORKS TECHNOLOGIES PRIVATE LIMITED
Summer Intern (2 mos)
Spring Fest
Core Organizing Team Member (7 mos)
Indian Institute of Technology, Kharagpur
Student (5 yrs)
Education
BTech+MTech at Indian Institute of Technology, Kharagpur
Intermediate Board of Secondary Education at Sri Chaitanya College of Education