Arun Ramesh
AI Engineer and Full-Stack Developer
Hire this person
Send a job offer directly to this candidate
About
Results-driven AI Engineer and Full-Stack Developer with 8 month hands-on experience building scalable AI voice platforms, B2B SaaS products, and enterprise automation solutions. Work in LLM integrations, real-time voice systems, and microservices architecture. Proven track record deploying production-grade AI systems handling 20,000+ calls/day with 50+ B2B clients.
Experience
AI Engineer - Hexite Technologies - Chennai, India
(2026-01)
- Architected ZenVoice real-time voice AI platform handling 20,000+ calls/day using LLM agents with STT/TTS via LiveKit, deployed on AWS EKS with autoscaling
- Engineered ZenChat B2B WhatsApp AI product serving 50+ clients at 1,000+ conversations/day for lead qualification and customer support automation
- Implemented advanced tool/function calling in live voice agents enabling real-time CRM updates and API triggers during active calls
Full-Stack Developer & AI/ML Engineer - Hexite Technology Pvt Ltd - Coimbatore / Chennai, India
- Designed production-grade AI voice agents for automated inbound/outbound call handling with multi-turn conversation capability for US-based enterprise clients
- Architected real-time WebSocket bridges for low-latency audio streaming between telephony systems and ElevenLabs voice synthesis engines
- Integrated STT/TTS pipelines with multilingual support, LLM model selection, and file-based knowledge training for AI voice agents
- Built RESTful APIs with Node.js, NestJS, FastAPI; engineered multi-step automated pipelines with secure token-based auth and role-based access control
- Leveraged Redis for caching; managed PostgreSQL, MongoDB, and Prisma ORM for schema design and query optimization
- Built responsive web interfaces with React.js and cross-platform mobile apps using React Native for iOS and Android
Frontend & Backend Intern - MovieCloud Labs - Dindigul, India
(2025-08 - 2025-12)
- Built responsive dashboards and real-time tracking interfaces using React.js for Air Ambulance Management System
- Developed Python FastAPI backend with MongoDB for air ambulance bookings, aircraft allocation, and emergency coordination with secure REST APIs
Education
Master of Computer Application - Full-Stack Developer, Database Systems - RVS College of Arts and Science (2024 - 2026)
Bachelor of Computer Application - RVS College of Arts and Science (2021 - 2024)
HSC - 12th Grade - Computer Science - Government Higher Secondary School (2020 - 2021)
