Hassieb Pakzad
Software Engineer at Langfuse (YC W23)
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolHassieb Pakzad is a software engineer based in Berlin with a multidisciplinary background spanning fintech, startups, and management consulting. He currently builds the LLM engineering platform at Langfuse (YC W23) and previously led engineering at Klarna, delivering features used by millions. As founder/CTO of Loybase he shipped mobile and web apps plus backend systems, and his contributions to the open-source Langfuse repo include expanding model usage units and strengthening ingestion/auth flows. Trained in economics at LSE and Mannheim and starting his career in strategy at Kearney, he combines product-minded engineering with business and data fluency. Colleagues describe him as a pragmatic builder who moves quickly from prototype to production while keeping an eye on observability and scale.
4 years of coding experience
5 years of employment as a software developer
London School of Economics and Political ScienceBachelor of Science (BSc) Economics, Bachelor of Science (BSc) Economics at University of MannheimExchange Student Economics, Exchange Student Economics at University of Florida
English, German, Persian, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
api10
back-end-development10
apidoc10
prisma10
testing9
user-authentication9
authentication9
json8
llm8
large-language-models8
openai8
Programming languages (4)
Github contributions (5)
langfuse/langfuse
Oct 2023 - Apr 2025
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 releases, 118 reviews, 258 PRs in 1 year 6 months
Contributions summary:Hassieb primarily focused on enhancing the Langfuse platform's features by expanding its model generation units. They made significant contributions to testing and ensuring the platform's compatibility with various model usage units like characters, milliseconds, images, and seconds. Furthermore, the user worked on improving the ingestion endpoint, allowing score ingestion via Basic and Bearer authentication methods, and adding improvements and features in the prompts and session data.
analyticsevaluationlangchainlarge-language-modelsllama-index
hassiebp/langfuse-js
Jan 2024 - Feb 2024
Langfuse JS/TS SDKs
Contributions:5 pushes, 2 branches, 6 comments in 24 days
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