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Andres Lim

@andreslim

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Senior Full-Stack and Generative AI Engineer specializing in cloud-native systems.

Estonia

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What I'm looking for

I seek senior roles building production LLM and cloud-native AI systems, emphasizing scalable architectures, low-latency inference, strong observability, mentorship, and opportunities to lead PoCs and shape AI strategy.

Senior Python Engineer and Generative AI Specialist with 9+ years of experience designing LLM-driven systems, RAG architectures, and scalable cloud-native platforms across AWS and Azure. Expert in building high-performance Python microservices, integrating LLMs, optimizing vector databases, and deploying resilient AI inference workloads. Proven success leading PoCs, shaping AI architecture, reducing latency in production systems, and driving measurable performance improvements. Combines deep technical mastery with strong communication, leadership, and senior-level decision-making in fast-moving environments.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Lorem Scriptum

Jan 2023 - Nov 2025 (2 years 10 months)

Architected enterprise-grade RAG systems and integrated Azure OpenAI/OpenAI into distributed Python microservices, improving semantic retrieval accuracy by 41% and increasing peak inference throughput by 34%. Led PoCs and pre-sales technical discovery, raising AI engagement conversion by 18% while reducing compute costs by 22%.

Python fastAPI Elasticsearch AWS Lambda RAG Architecture CI CD Kubernetes

Full-Stack Python Engineer

Wellcreator

Jun 2018 - Jan 2021 (2 years 7 months)

Developed Django/DRF backends and embedding-based semantic search pipelines that improved endpoint efficiency by 28% and reduced human validation time by 21%. Optimized async processing and caching to cut response times by 37%.

Python Django DRF React Embeddings PostgreSQL Redis Docker

Junior Full-Stack Engineer

Skyincome

Aug 2016 - May 2018 (1 year 9 months)

Implemented Django REST APIs and optimized SQL/Django ORM usage, reducing endpoint latency by 25% and regressions by 27% through testing. Improved platform stability and integrated external APIs for automated data flows.