Sina Semnani
PhD Candidate
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSina Semnani is a PhD candidate in NLP at Stanford with six years of experience bridging academic research and applied machine learning in the San Francisco Bay Area. Trained originally at Sharif University of Technology, he focuses on advancing language technologies and contributes to the Stanford NLP community. His background suggests strong foundations in both theory and engineering, enabling him to move ideas from research prototypes toward practical systems. Colleagues would describe him as research-focused yet product-aware, comfortable navigating complex models and datasets. While primarily academic, he operates with an engineer’s pragmatism—likely shipping reproducible experiments and tooling that accelerate iterative research.
6 years of coding experience
PhD, PhD at Stanford UniversityBachelor’s Degree, Bachelor’s Degree at Sharif University of Technology
Github Skills (117)
python10
almond10
deep-learning10
self-attention10
speech10
semantic-parsing10
transformer10
gpt10
nlp10
chatbot10
translation10
amd10
voice-assistant10
gateway10
natural-language-processing10
Programming languages (6)
Github contributions (5)
stanford-oval/chainlite
May 2024 - Feb 2025
LangChain + LiteLLM that works
Contributions:36 releases, 1 review, 2 PRs in 9 months
agentanthropicgptlangchainlitellm
stanford-oval/WikiChat
Dec 2023 - Feb 2025
WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
Contributions:3 releases, 26 PRs, 31 pushes in 1 year 2 months
chatbotemnlp2023factualityllmnatural-language-processing
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