David Ryland
@davidryland
Senior software engineer and AI engineer building low-latency real-time voice and multimodal RAG platforms.
What I'm looking for
I’m a Senior Software Engineer & AI Engineer focused on building realtime AI voice systems, multimodal retrieval engines, and largescale fullstack platforms across healthcare, real estate, and enterprise AI.
I architect and ship latency-sensitive, production-grade AI end-to-end: audio ingestion, multimodal embeddings, RAG pipelines, vector search, LLM-powered agents, and distributed inference—so systems perform under strict real-time constraints.
In recent roles, I’ve led streaming STT/TTS pipelines and agent orchestration (LangGraph/LlamaIndex), delivering sub-second transcription and response generation. I also optimize FAISS/pgvector retrieval, GPU/CPU inference (ONNX, quantization, Triton), and throughput/latency using robust evaluation and monitoring (drift detection and hallucination monitoring).
I value cross-functional collaboration with researchers, clinicians, and product teams. I build evaluation, observability, and governance frameworks (LangSmith, Langfuse, auditability) to improve accuracy, reduce hallucinations, and ensure reliable user experiences.
Experience
Work history, roles, and key accomplishments
Senior FullStack Engineer / AI Engineer
Striveworks LLC
Jan 2025 - Apr 2026 (1 year 3 months)
Architected and shipped a real-time AI voice agent platform using Python, FastAPI, Django, LiveKit, WebRTC, and Twilio, deployed on GCP for scalable low-latency inference. Built streaming STT/TTS and multimodal RAG pipelines with WebSocket APIs, multi-agent orchestration, and end-to-end evaluation for reliable production behavior.
Delivered AI and full stack applications using React, Next.js, TypeScript, Python, FastAPI/Django, and distributed retrieval systems. Led multimodal and multilingual embedding retrieval, RAG and multi-agent orchestration, and observability/governance for large-scale production deployments.
Built a clinical decision support platform enabling natural language search over treatment guidance and patient insights. Implemented hybrid document retrieval with semantic ranking and contextual grounding, and developed clinician-facing applications and compliant processing workflows.
Developed and optimized platform services on AWS using Node.js, Nest.js, and Terraform, and maintained backend APIs in Java (Spring Boot) and .NET Core. Built high-performance React/Angular/Next.js frontends, reusable UI component libraries, and media-processing pipelines for improved throughput and latency.
Education
Degrees, certifications, and relevant coursework
Arizona State University
Bachelor of Science, Computer Science
2012 - 2016
Bachelor of Science in Computer Science at Arizona State University, completed in 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
Interested in hiring David?
You can contact David and 90k+ other talented remote workers on Himalayas.
Message DavidGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
