Python AI Engineer

На данный момент Senior Software Engineer.

Мои компетенции и опыт

Ethan Lim

Singapore | нужен доступ к резюме | нужен доступ к резюме | нужен доступ к резюме

Summary

Accomplished software engineer with over 10 years of professional experience, specializing in Python development, AI model integration, and prompt engineering. Proven track record in designing and deploying scalable backend architectures for AI-driven applications, including agent-based systems and LLM pipelines. Skilled in building production-ready microservices, automating workflows with queues and background workers, and integrating AI solutions with real-world business processes. Expert in fast-paced startup environments, capable of rapidly delivering MVP features, optimizing pipelines, and implementing reliable, testable code. Adept at collaborating with cross-functional teams to translate complex requirements into robust, scalable, and high-impact solutions.

Experience

Rescode | Senior Software Engineer May 2022 ~ Present

• Developed backend solutions using Python and FastAPI for AI-powered applications
• Integrated LLMs into product pipelines for chatbots, tool-calling, and agent-based tasks
• Designed queues and background workers using Celery and Redis to handle asynchronous workloads
• Built automated pipelines for prompt engineering, data preprocessing, and AI output validation
• Implemented containerized deployment workflows using Docker for MVP scaling
• Developed testable, maintainable, and production-ready Python code
• Collaborated with frontend and DevOps teams to ensure seamless AI integration
• Optimized LLM pipelines for performance, latency, and reliability
• Monitored and logged AI system outputs to detect anomalies and ensure accuracy
• Conducted experiments to refine agent-based workflows and decision-making logic
• Led initiatives to streamline CRM integrations and context transfer processes
• Mentored junior engineers on Python development, AI pipeline design, and testing best practices
• Produced internal documentation for AI workflow architecture and operational guidelines
• Collaborated with product teams to rapidly prototype and deploy new AI features
• Improved system throughput and reliability, reducing downtime by 25%
• Enhanced AI-driven decision-making accuracy through iterative model adjustments

Doodle Labs | Senior Full Stack Engineer Apr 2019 ~ Apr 2022

• Developed full-stack Python solutions for AI-enhanced applications and data pipelines
• Integrated machine learning models into backend systems for content and decision automation
• Applied prompt engineering techniques to improve AI output quality and relevance
• Designed scalable microservices to handle AI-driven requests and agent logic
• Implemented automated testing and validation frameworks for AI-generated outputs
• Built Celery/Redis queues for asynchronous AI workflows and background processing
• Collaborated with DevOps teams on containerization, deployment, and monitoring
• Developed tools to translate AI outputs into client-ready formats
• Conducted performance analysis and optimization of Python and AI codebases
• Streamlined agent-based system workflows for increased efficiency and accuracy
• Mentored team members on AI integration, prompt strategies, and backend best practices
• Produced comprehensive technical documentation for AI pipelines and system architecture
• Coordinated cross-team collaboration to deliver timely AI feature rollouts

Wise | Full Stack Engineer May 2015 ~ Feb 2019

• Developed Python-based automation pipelines for AI and ML applications
• Built and maintained microservices to process and adapt AI outputs
• Implemented prompt engineering strategies to optimize AI-generated text and decisions
• Integrated Python backend systems with front-end dashboards and client tools
• Designed and deployed background worker queues for asynchronous data processing
• Conducted unit testing and validation for reliability and consistency of AI outputs
• Mentored junior engineers in Python, ML pipeline integration, and automated workflows
• Developed internal monitoring tools for AI system performance and reliability
• Improved data throughput and pipeline scalability through process optimization
• Collaborated with teams on AI model evaluation, tuning, and adaptation
• Produced detailed documentation for AI workflows, prompt strategies, and microservices

Education

National University of Singapore Aug 2009 ~ Jul 2013

Bachelor’s Degree in Computer Science

Skills

• Backend / Python: Python, FastAPI, Flask, microservices, async programming, queue systems (Celery, RQ), Docker, testable code design, production deployment
• AI/ML / LLM: LLM integration, prompt engineering, chatbots, agent-based AI systems, pipeline automation, model fine-tuning, AI output validation
• DevOps / Cloud: Containerization, Docker, CI/CD, monitoring/logging, cloud deployments (AWS, Azure, GCP)
• Database / Storage: PostgreSQL, MySQL, Redis, vector databases (Qdrant, Pinecone)
• Frontend / Collaboration: React, Vue, HTML, CSS, Git, Jira, Agile/Scrum, documentation
• Other: Problem-solving, analytical thinking, fast adaptation, reliability engineering, team mentorship