Available to hire
Hi, I’m Emtiaz Uddin Ahmed, a Senior ML Engineer specializing in Voice AI pipelines, healthcare AI platforms, and agentic RAG systems. I thrive on multi-agent orchestration, LLM optimization, RLHF, and building scalable microservices that cut costs and boost performance.
I enjoy turning ambitious ideas into robust production systems, from data engineering and model training to deployment, monitoring, and cost efficiency. I’m passionate about multi-modal AI, vector databases, and real-time analytics, and I love collaborating with teams to deliver practical AI solutions that make a difference.
Skills
Experience Level
Expert
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Intermediate
Work Experience
Senior ML Engineer at Markopolo AI INC
December 1, 2025 - PresentBuilt a custom voice AI pipeline using open-source TTS, replacing commercial providers and reducing per-call costs from $0.13 to $0.02 (85% savings). Architected multi-channel content generation engines supporting Email, SMS, WhatsApp, Voice, and Push with 30+ language localizations. Developed an audience intelligence system with customer journey analysis, churn prediction, and lead scoring using RAG and vector search. Implemented voice call orchestration with a Bengali TTS and natural conversation flow, plus real-time metrics collection. Replaced vector similarity search with Graph RAG using NetworkX, boosting retrieval speed and saving about $600/month in infrastructure costs. Deployed a microservices architecture enabling horizontal scaling and 2.3x query performance improvement.
AI/ML Engineer at Tulip Tech LTD
April 1, 2024 - November 1, 2025Led migration from monolithic to microservices architecture, improving deployment frequency by 60%. Implemented a seamless voice-to-voice AI system using LiveKit, replacing manual TTS/STT/LLM pipelines for more robust real-time conversations. Built Ask Empathika, an agentic RAG system using multi-agent orchestration for intelligent care assistance. Developed automated care plan generation, risk assessment, and incident reporting modules, reducing manual documentation by 50%. Implemented semantic search using a vector database for resident data and conversation history retrieval. Developed staff prediction system with a custom fairness scoring algorithm, enhancing accurate staff allocation and scheduling decisions. Built a custom LLM fine-tuning pipeline and deployed models to production with robust monitoring and auto-scaling infrastructure.
ML Engineer at Brainstation 23 PLC
July 1, 2022 - March 1, 2024Built a Text-to-SQL chatbot enabling natural language database queries with automatic schema understanding, query optimization, and error handling. Developed a license plate detection system using a fine-tuned YOLO model with real-time streaming via Apache Kafka, achieving 97% detection accuracy in production. Implemented an AI-powered interview system using LiveKit for real-time voice interactions, automated candidate evaluation, and scoring. Created a property search chatbot with conversational filters for location, budget, and preferences using RAG-based retrieval.
Education
B.Sc. at Rajshahi University of Engineering and Technology (RUET)
January 1, 2018 - December 31, 2022Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Healthcare, Professional Services, Education
Skills
Experience Level
Expert
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Intermediate
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