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Mohd Aqueel User

@mohdaqueeluser

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AI/ML engineer building production voice AI and RAG systems for scalable products.

United Arab Emirates

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What I'm looking for

I seek a fast-paced, innovation-driven role building production voice AI and RAG products, emphasizing scalable deployments, cross-functional collaboration, and measurable user impact.

I am an AI/ML engineer with 2+ years of experience designing and deploying end-to-end Voice AI systems and retrieval-augmented generation (RAG) solutions for production environments. I have built real-time voice agents, stateful multi-agent conversational systems, and scalable APIs using tools such as LangGraph, FastAPI, Docker, Redis, and PostgreSQL to deliver low-latency, reliable services.

My work includes architecting vector search and semantic retrieval with Weaviate, Qdrant, and FAISS, integrating speech and TTS solutions like Ultravox, ElevenLabs, Murf, and Pipecat, and establishing LLM observability with Langfuse. I focus on pragmatic engineering—optimizing performance, ensuring multilingual support, and enabling analytics and monitoring to drive measurable product impact.

Experience

Work history, roles, and key accomplishments

Data Scientist

Softsensor AI

Jul 2023 - Sep 2025 (2 years 2 months)

Designed and deployed real-time, stateful multi-agent conversational AI systems for hotel booking and voice interactions, reducing latency and supporting 100+ daily voice calls and multi-location bookings. Built scalable APIs, vector retrieval/RAG pipelines, and LLM observability to improve retrieval relevance and production reliability.