I'm Ethan Lim. I'm a senior software engineer with over 10 years of experience specializing in AI-driven systems, data engineering, and full-stack development. I have built and scaled distributed platforms handling millions of daily events across industries such as fintech, IoT, and SaaS. My expertise spans backend architecture, applied machine learning, and cloud automation—designing solutions that consistently achieve low-latency performance and enterprise-level reliability. I have led development of LLM-based analytics pipelines, event-driven microservices, and predictive models deployed on AWS and GCP. Known for my clean engineering approach and strong ownership, I bridge data science and production software to deliver measurable impact. I am passionate about building AI-native products that combine automation, scalability, and real-world usability.

Ethan Lim

I'm Ethan Lim. I'm a senior software engineer with over 10 years of experience specializing in AI-driven systems, data engineering, and full-stack development. I have built and scaled distributed platforms handling millions of daily events across industries such as fintech, IoT, and SaaS. My expertise spans backend architecture, applied machine learning, and cloud automation—designing solutions that consistently achieve low-latency performance and enterprise-level reliability. I have led development of LLM-based analytics pipelines, event-driven microservices, and predictive models deployed on AWS and GCP. Known for my clean engineering approach and strong ownership, I bridge data science and production software to deliver measurable impact. I am passionate about building AI-native products that combine automation, scalability, and real-world usability.

Available to hire

I’m Ethan Lim. I’m a senior software engineer with over 10 years of experience specializing in AI-driven systems, data engineering, and full-stack development. I have built and scaled distributed platforms handling millions of daily events across industries such as fintech, IoT, and SaaS. My expertise spans backend architecture, applied machine learning, and cloud automation—designing solutions that consistently achieve low-latency performance and enterprise-level reliability.

I have led development of LLM-based analytics pipelines, event-driven microservices, and predictive models deployed on AWS and GCP. Known for my clean engineering approach and strong ownership, I bridge data science and production software to deliver measurable impact. I am passionate about building AI-native products that combine automation, scalability, and real-world usability.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Senior Software Engineer at Rescode
May 1, 2022 - Present
Designed and implemented microservice architecture for an AI-driven analytics platform handling over 2M data events per day; built an LLM-based content-classification engine reducing human review time by 60%; integrated LangChain retrieval pipelines; implemented real-time data ingestion with Kafka and PostgreSQL achieving sub-150ms latency; automated CI/CD with GitHub Actions and Terraform for multi-region deployments; designed feature store integrating Snowflake with TensorFlow; refactored backend APIs in Rust and Node.js for concurrent model execution; implemented model-drift monitoring with Prometheus and Grafana; created a prompt-evaluation harness for GPT-based classification tasks; optimized container build pipelines reducing deployment time by 40%; led migration from monolith to event-driven services; partnered with data scientists to optimize GPU model inference; implemented audit-log microservice; built token-gated API endpoints with OAuth2/JWT; developed unified telemetry pip
Senior Software Engineer at Doodle Labs
April 1, 2022 - October 26, 2025
Architected IoT telemetry dashboard visualizing 10K+ live RF devices worldwide; developed edge-AI firmware pipeline enabling autonomous network adaptation; built scalable data-collection APIs handling 350 RPS with minimal downtime; frontend in React with WebSocket updates for sub-second refresh; integrated TensorFlow Lite models for predictive network diagnostics; led end-to-end product delivery from hardware telemetry to user interface; backend in Go and Python with modular REST and gRPC endpoints; implemented OTA update mechanism; deployed Kubernetes-based infrastructure with autoscaling on AWS EKS; created anomaly-detection model achieving 92% precision on fault prediction; implemented secure provisioning and certificate rotation for field devices; streamlined CI pipelines in Jenkins and GitLab CI for multi-arch builds; collaborated with product teams to deliver analytics-driven dashboards; maintained multi-region redundancy to ensure uptime during rollouts; delivered production-rea
Full Stack Engineer at Wise
February 1, 2019 - October 26, 2025
Built scalable payment APIs serving over 10M monthly transactions; developed fraud-detection rules using Python and Spark data pipelines; migrated legacy PHP services to Node.js, improving performance by ~3x; optimized SQL queries and indexes for financial ledger consistency; integrated Kafka for asynchronous settlement processing; implemented React-based internal dashboard for compliance monitoring; automated regression testing with Cypress and Jest; designed RBAC and secure audit trails for finance ops; led data integration between KYC microservices and external APIs; contributed to GDPR compliance and data-retention automation; improved CI pipeline reliability; Wrote RESTful and GraphQL APIs for currency exchange and transaction tracking; collaborated with global teams to deliver cross-border fintech platform.

Education

Bachelor’s Degree in Computer Science at National University of Singapore
August 1, 2009 - July 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services, Manufacturing