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romsto/README.md

Hello, I am Romain 👋

💡 Looking for role as a Research Engineer, Software Engineer, or Research Scientist in Large Language Models. Available immediately.

🎓 Graduated with a dual degree:
M.S. in Computer Science and Engineering @ Seoul National University (서울대학교).
M.Eng. in Engineering and AI @ IMT Mines Alès.

🔬 Research Interests:
I aim to incorporate human behaviors into LLMs to improve their performance and efficiency.
(Adaptive Computation in Transformers; LLM Post-Training; LLM Decoding & Optimization)

🏛️ Previously at: Language and Data Intelligence Lab (ldi.snu.ac.kr) under Prof. Hwang (황 교수님).

🌍 Based in France 🇫🇷

Website Linkedin: romain-storaï Stars

$ cat romain.py

from profiles import ResearchEngineer


class Romain(ResearchEngineer):
    def __init__(self):
        self.name = "Romain"
        self.focus = ["Adaptive Computation", "LLM Inference"]
        self.education = [
            "M.S. @ Seoul National University 🇰🇷",
            "M.Eng. @ IMT Mines Alès 🇫🇷"
        ]
        self.attribute = Curious(level=math.inf)
        self.location = "France"  # South Korea
 
    def mode(self):
        return "🔬 Research | 🛠️ Engineering"  # Swiss Army knife mode activated

    def contact(self):
        return "romsto@snu.ac.kr"

Pinned Loading

  1. HARP Public

    Official Implementation of HARP: Hesitation-Aware Reframing in Transformer Inference Pass (Romain Storaï and Seung-won Hwang, 2024)

    Python 4 1

  2. Speculative-Decoding Public

    Implementation of the paper Fast Inference from Transformers via Speculative Decoding, Leviathan et al. 2023.

    Python 45 8

  3. Inappropriate-Language-Classifier Public

    Online video games need a better system to detect inappropriate language in chat, and using machine learning models could help create a safer and more enjoyable environment for all players.

    Jupyter Notebook 3

  4. RushHour Public

    Play the famous boardgame and Solve the puzzle automatically

    Java 1

romsto (Romain) · GitHub
Skip to content
View romsto's full-sized avatar

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@ldilab

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romsto/README.md

Hello, I am Romain 👋

💡 Looking for role as a Research Engineer, Software Engineer, or Research Scientist in Large Language Models. Available immediately.

🎓 Graduated with a dual degree:
M.S. in Computer Science and Engineering @ Seoul National University (서울대학교).
M.Eng. in Engineering and AI @ IMT Mines Alès.

🔬 Research Interests:
I aim to incorporate human behaviors into LLMs to improve their performance and efficiency.
(Adaptive Computation in Transformers; LLM Post-Training; LLM Decoding & Optimization)

🏛️ Previously at: Language and Data Intelligence Lab (ldi.snu.ac.kr) under Prof. Hwang (황 교수님).

🌍 Based in France 🇫🇷

Website Linkedin: romain-storaï Stars

$ cat romain.py

from profiles import ResearchEngineer


class Romain(ResearchEngineer):
    def __init__(self):
        self.name = "Romain"
        self.focus = ["Adaptive Computation", "LLM Inference"]
        self.education = [
            "M.S. @ Seoul National University 🇰🇷",
            "M.Eng. @ IMT Mines Alès 🇫🇷"
        ]
        self.attribute = Curious(level=math.inf)
        self.location = "France"  # South Korea
 
    def mode(self):
        return "🔬 Research | 🛠️ Engineering"  # Swiss Army knife mode activated

    def contact(self):
        return "romsto@snu.ac.kr"

Pinned Loading

  1. HARP Public

    Official Implementation of HARP: Hesitation-Aware Reframing in Transformer Inference Pass (Romain Storaï and Seung-won Hwang, 2024)

    Python 4 1

  2. Speculative-Decoding Public

    Implementation of the paper Fast Inference from Transformers via Speculative Decoding, Leviathan et al. 2023.

    Python 45 8

  3. Inappropriate-Language-Classifier Public

    Online video games need a better system to detect inappropriate language in chat, and using machine learning models could help create a safer and more enjoyable environment for all players.

    Jupyter Notebook 3

  4. RushHour Public

    Play the famous boardgame and Solve the puzzle automatically

    Java 1

romsto (Romain) · GitHub
Skip to content
View romsto's full-sized avatar

Organizations

@ldilab

Block or report romsto

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
romsto/README.md

Hello, I am Romain 👋

💡 Looking for role as a Research Engineer, Software Engineer, or Research Scientist in Large Language Models. Available immediately.

🎓 Graduated with a dual degree:
M.S. in Computer Science and Engineering @ Seoul National University (서울대학교).
M.Eng. in Engineering and AI @ IMT Mines Alès.

🔬 Research Interests:
I aim to incorporate human behaviors into LLMs to improve their performance and efficiency.
(Adaptive Computation in Transformers; LLM Post-Training; LLM Decoding & Optimization)

🏛️ Previously at: Language and Data Intelligence Lab (ldi.snu.ac.kr) under Prof. Hwang (황 교수님).

🌍 Based in France 🇫🇷

Website Linkedin: romain-storaï Stars

$ cat romain.py

from profiles import ResearchEngineer


class Romain(ResearchEngineer):
    def __init__(self):
        self.name = "Romain"
        self.focus = ["Adaptive Computation", "LLM Inference"]
        self.education = [
            "M.S. @ Seoul National University 🇰🇷",
            "M.Eng. @ IMT Mines Alès 🇫🇷"
        ]
        self.attribute = Curious(level=math.inf)
        self.location = "France"  # South Korea
 
    def mode(self):
        return "🔬 Research | 🛠️ Engineering"  # Swiss Army knife mode activated

    def contact(self):
        return "romsto@snu.ac.kr"

Pinned Loading

  1. HARP Public

    Official Implementation of HARP: Hesitation-Aware Reframing in Transformer Inference Pass (Romain Storaï and Seung-won Hwang, 2024)

    Python 4 1

  2. Speculative-Decoding Public

    Implementation of the paper Fast Inference from Transformers via Speculative Decoding, Leviathan et al. 2023.

    Python 45 8

  3. Inappropriate-Language-Classifier Public

    Online video games need a better system to detect inappropriate language in chat, and using machine learning models could help create a safer and more enjoyable environment for all players.

    Jupyter Notebook 3

  4. RushHour Public

    Play the famous boardgame and Solve the puzzle automatically

    Java 1