Siddharth (data not clearly available)
Hands-on, end-to-end AI/ML engineer building and deploying LLM-based conversational AI and voice systems in production—from prototype to enterprise clients.
About
Hands-on, end-to-end AI/ML engineer building and deploying LLM-based conversational AI and voice systems in production—from prototype to enterprise clients. Founded and scaled ChatelAI, an AI concierge platform for premium hospitality brands, covering the full stack (LLM app development, real-time voice pipelines, deployment, and self-hosting of models and infrastructure).
Exited the company to deepen technical expertise and is now pursuing a Computing (Hons in AI) degree at NTU, while looking to bring production-grade AI/ML experience into an engineering team. Led customer-facing execution and handled revenue over $1M ARR in an executive customer role.
- 1 year's experience
- Joined July 2026
Industry experience
- Software & Internet
- Financial Services
- Travel & Hospitality
- Professional Services
- Telecommunications
- Computers & Electronics
Work experience
Founded and led ChatelAI, an AI-powered guest concierge platform from idea to production, onboarding and supporting premium hospitality brands including Shangri-La, Marriott, and IHG. Built end-to-end conversational AI products: LLM-based chat concierge, live real-time voice AI with speech-to-text ↔ LLM ↔ text-to-speech pipelines, and multi-channel messaging integrations (e.g., WhatsApp/Telegram-style bots). Owned the full technical stack covering prompt/agent design, RAG-style knowledge integration, deployment, infrastructure, and self-hosting of models. Managed the full product lifecycle in a live commercial setting (client onboarding, reliability/uptime, iterative improvements from real user interactions, and ongoing enterprise support).
Founded and scaled ChatelAI, an AI-powered guest concierge platform for hospitality from idea to production. Built end-to-end conversational AI products including an LLM-based chat concierge, real-time voice AI pipelines (speech-to-text ↔ LLM ↔ text-to-speech) and multi-channel integrations (e.g., WhatsApp/Telegram-style bots). Owned the full technical stack: prompt/agent design, RAG/knowledge integration, model/service self-hosting, infrastructure, deployment, and API integrations. Managed the full commercial lifecycle—client onboarding, uptime/reliability, iterative improvements based on real user interactions, and ongoing enterprise support for hospitality partners. Exited the company to pursue deeper technical grounding for scaling similar AI services.
Worked on on-chain performance optimization by reducing transaction latency and improving throughput across Layer 2 (L2) chains. Performed on-chain data analysis to identify latency bottlenecks and drive performance improvements. Built and deployed decentralized applications (dApps) covering smart contract development and integration.
Education· 5
Certifications and awards
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