Ryan  .

About Me

Ryan is a senior backend engineer focused on AI systems. He has designed and scaled production services that power generative and conversational experiences. With experience across multimodal model inference, API platforms, and cloud-native microservices, he turns research into reliable, cost-efficient products. As a builder and optimizer, he improves latency, reliability, and developer velocity while meeting strict security and observability standards.

AI, ML & LLM

Backend

Database

DevOps

Amazon Web Services (AWS) Docker

Other

FastAPI/Flask Asynchronous I/O Graphql Tensorflow Keras Scikit Learn You Only Look Once (YOLO) CNN Efficient Data Serialization Stable Diffusion Hugging Face Postgres

Work history

Iflexion
Iflexion
Senior Software Engineer
2023 - Present (2 years)
United States of America
  • Project Overview: Built and operated generative-AI backend services for multimodal content (text-to-image, image-to-video, audio) running at consumer scale.

  • • Designed production inference services that handled 1M+ monthly interactions, exposing standardized REST endpoints and SDKs for web/mobile integration. • Implemented temporal attention and motion-aware modules for video generation; reduced artifacts and improved output realism across core use cases. • Built GPU-optimized, containerized pipelines on Kubernetes with autoscaling and request batching; cut p95 latency by 38% under peak load. • Applied model compression (quantization, pruning) and precision tuning to lower GPU hours while maintaining quality and throughput targets. • Stood up end-to-end observability with Prometheus/Grafana, structured logging, and alerting tied to SLOs; enabled proactive capacity tuning and rapid incident response. • Established auth, rate limiting, and usage metering for multi-tenant clients; aligned IAM policies and service boundaries with least-privilege access.

ABC Fitness
ABC Fitness
Software Engineer
2021 - 2023 (2 years)
United States of America
  • Project Overview: Delivered conversational AI services that integrated with scheduling, billing, and membership systems to streamline member support

  • • Architected a chatbot backend using Django APIs and background workers to orchestrate intents, tool usage, and secure data retrieval from core platforms. • Trained and fine-tuned NLU models (BERT/TensorFlow) with domain corpora; increased intent coverage and contextual accuracy for fitness workflows. • Built a curated knowledge base and retrieval layer to standardize answers across policies, schedules, and FAQs; improved response consistency. • Introduced analytics pipelines for dialog events, abandonment, and CSAT; informed iterative model and UX improvements that reduced support load. • Implemented monitoring, feature flags, and safe rollouts for model updates; maintained uptime during peak traffic and seasonal campaigns. • Hardened security and compliance with input validation, secret rotation, and IAM scoping across environments.

Education

Education
Certified Professional Python Developer (PCPD)
Python Institute
2024
Education
AI and Deep Learning with TensorFlow Certification
AI and Deep Learning
2023
Education
NLP Specialization
DeepLearning.AI
2023
Education
National University of Singapore
National University of Singapore
2021
Education
Bachelor's Degree in Computer Science
National University of Singapore
2016