Aiden Sullivan
I'm Aiden Sullivan, a Senior AI/ML Engineer with 8+ years of experience designing and deploying large-scale ML and LLM-powered systems in production.
About
I’m Aiden Sullivan, a Senior AI/ML Engineer with 8+ years of experience designing and deploying large-scale ML and LLM-powered systems in production. I specialize in RAG pipelines, transformer-based NLP, and real-time conversational AI architectures.
I love building cloud-native, low-latency solutions and ML Ops pipelines across AWS, Azure, and GCP. I enjoy turning complex ideas into reliable, scalable platforms and mentoring teams to ship robust AI products.
- 10 years' experience
- Joined May 2026
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Healthcare
- Professional Services
- Life Sciences
Work experience· 4 roles
Designed and deployed real-time voice AI systems integrating Twilio, Deepgram, and ElevenLabs for automated conversational workflows. Architected low-latency WebSocket-based streaming for real-time AI inference. Built scalable FastAPI microservices and cloud-native infrastructure. Deployed AI systems across AWS, Azure, and GCP with HIPAA-aware workflows for healthcare automation. Developed ML models for prediction, classification, and data inference, plus end-to-end ML lifecycle and monitoring.
Built production-ready ML APIs and backend services; designed ETL pipelines and distributed data workflows using Spark and Kafka. Implemented model monitoring and performance tracking; optimized system performance with caching and DB tuning. Contributed to early-stage data pipelines and automation workflows for model training and evaluation.
Built feature extraction pipelines for structured and unstructured data; deployed ML models into production environments. Worked on early-stage distributed ML systems and data pipelines.
Education
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