Dinmukhamed Mailibay
Co-Founder at Laminar AI
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolDinmukhamed Mailibay is a software engineer and entrepreneur with 5 years of experience building scalable backend systems, data pipelines, and AI-driven products. As Co-Founder and CTO at Laminar (YC S24), he designed OpenTelemetry-backed storage and client instrumentation, processing thousands of spans and images daily while securing YC pre-seed investment. His background spans high-throughput systems at Amazon and IMDb—optimising search indexing for 100M+ documents, cutting costs via architecture changes, and delivering message processing at hundreds of TPS. He contributes to open-source observability for LLMs (traceloop/openllmetry), adding instrumentation and test coverage for Anthropic tool calls and prompt metrics. Comfortable across cloud infrastructure, Knative container hosting, and ML/MLops, he blends product-focused engineering with practical research experience from biotech to accessibility. Based in London and trained at KAIST, he’s now focused on enabling firms and developers to use AI effectively in production.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
Github Skills (14)
opentelemetry10
opentelemetry-go10
lm10
observability10
instrumentation10
anthropic10
large-language-models10
python10
generative-ai10
metric10
llm10
pytest9
llmops9
testing9
Programming languages (7)
Github contributions (5)
traceloop/openllmetry
Oct 2024 - Mar 2025
Open-source observability for your LLM application, based on OpenTelemetry
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:9 reviews, 18 PRs, 35 comments in 5 months
Contributions summary:Dinmukhamed contributed to the instrumentation and observability aspects of the `openllmetry` project, focusing on integrating and testing with Anthropic's LLM functionalities. Their work included adding instrumentation for Anthropic tool calling and prompt caching, and incorporating system messages within prompts. The user also added and improved test coverage, incorporating metrics verification across several tests, demonstrating a focus on ensuring the correct collection of LLM-related metrics. Additionally, there are contributions related to setting up and adding attributes within the context of the OpenTelemetry ecosystem.
artifical-intelligencedatasciencegenerative-aigood-first-issuegood-first-issues
lmnr-ai/lmnr
Aug 2024 - Apr 2025
Laminar - open-source all-in-one platform for engineering AI products. Crate data flywheel for you AI app. Traces, Evals, Datasets, Labels. YC S24.
Contributions:31 releases, 126 reviews, 502 PRs in 7 months
agentsaiai-observabilityaiopsanalytics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.