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Clement Gyasi Siaw Email & Phone Number

Software Engineer | Python Developer | LLM / AI Trainer at Outlier AI
Location: Newark, New Jersey, United States 5 work roles 2 schools
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Role
Software Engineer | Python Developer | LLM / AI Trainer
Location
Newark, New Jersey, United States
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Clement Gyasi Siaw is listed as Software Engineer | Python Developer | LLM / AI Trainer at Outlier AI, a with 43 employees, based in Newark, New Jersey, United States. AeroLeads shows a matched LinkedIn profile for Clement Gyasi Siaw.

Clement Gyasi Siaw previously worked as LLM Training Specialist at Outlier Ai and Software Engineer at Dataannotation. Clement Gyasi Siaw holds Master'S Degree, Petroleum Engineering from Technical University Of Crete.

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Outlier AI

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About Clement Gyasi Siaw

I am a software developer with a master's degree in petroleum engineering. I have over three years of experience in the training of Generative AI models as well as developing web applications and software solutions for various domains and industries. I am proficient in Python, C, JavaScript, Flask, SQL, and HTML5, CSS, and have a strong foundation in object-oriented programming, logics, data structures and algorithms. I am actively seeking opportunities that allow me to contribute my skills and expertise to meaningful projects, where I can apply my creativity, problem-solving skills, and determination to overcome obstacles and drive success. I thrive in collaborative environments where I can work with and learn from others, and where I can align my values and goals with the organisation's vision and mission. If you are looking for a dedicated and motivated team member who can add value to your organisation, I would love to connect and explore potential collaborations.

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Outlier AI
Outlier Ai
Software Engineer | Python Developer | LLM / AI Trainer
oakland, california, united states
Website
Employees
43
AeroLeads page
5 roles

Clement Gyasi Siaw work experience

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Llm Training Specialist

Current

United States

• Developed complex prompts for AI models in the White Wolf RLHF Project, focusing on creating meaningful deviations between models.• Improved AI models' ability to accurately follow instructions and respond truthfully in complex scenarios through Reinforcement Learning with Human Feedback, leading to more reliable and contextually appropriate models’ outputs in real-world applications.

Aug 2024 - Present

Software Engineer

Current

United States

Motivated and detail-oriented LLMs Training Specialist with extensive experience in crafting prompts, evaluating AI model responses, and editing for various domains including creative writing, coding, and multimedia analysis. Adept at ensuring high-quality data for machine learning training and enhancing AI model performance. Proven ability to work independently and as part of a team in a dynamic and fast-paced environment. Experienced in collaborating with organisations to train AI large language models, particularly in coding tasks. My tasks include but not limited to:• Worked on coding tasks on various projects focused on advancing AI models' ability to generate high-quality and efficient code.• Created coding prompts in Python, SQL, etc. for the models to respond to, with some tasks requiring the models to generate structured data outputs like CSV, JSON, YAML, etc.• Evaluated and rated the generated coding responses for correctness and adherence to instructions, ensuring code accuracy and factuality.• Provided written justifications behind my ratings of the responses and edited responses where necessary to help train models to generate efficient, reliable and accurate code.

Jan 2022 - Present

Lecturer In Petroleum Engineering

Kumasi, Ashanti Region, Ghana

Courses Taught:• Fundamentals of Reservoir Engineering: This course covers the essential principles of reservoir engineering, including the properties of reservoir rocks and fluids, fluid flow in porous media, and the basic techniques used to evaluate and manage hydrocarbon reservoirs.• Immiscible Displacement: This technique involves injecting a fluid that does not mix with the oil, such as water or gas, into the reservoir. The injected fluid pushes the oil towards the production wells. Since the injected fluid and oil do not mix, this method primarily relies on pressure to displace the oil.• Enhanced Oil Recovery (EOR): This course focuses on advanced methods to increase oil recovery beyond primary and secondary techniques. It covers thermal recovery, chemical flooding, and gas injection methods, along with real-world case studies and field applications to illustrate the effectiveness of these technologies.•Reservoir Fluid Dynamics: This course explores the behaviour of reservoir fluids under various conditions. It includes phase behaviour and PVT (Pressure-Volume-Temperature) analysis, as well as the study of multiphase flow in reservoirs, providing a thorough understanding of how fluids move and interact within the reservoir.

Sep 2018 - Jul 2022

Stock Management Web App

Self Employed

Kumasi, Ashanti Region, Ghana

This is a Flask app via which users can manage portfolios of stocks. They can check real stocks’ actual prices and portfolios’ values and can also “buy” and "sell" stocks by querying for stocks’ prices. This app is deployed seamlessly on Heroku for accessibility and scalability. Strengths: Real-Time Stock Management: Enables users to monitor stock portfolios and track real-time stock prices effortlessly. User-Friendly Interface: Intuitive design for seamless navigation and efficient management of financial transactions. Secure Authentication: Implements robust authentication mechanisms to ensure user data security. Data Integrity: Utilises SQLite database to maintain data integrity and reliability. Flexible Deployment: Easily deployable across various environments for widespread accessibility. Functionalities: User Registration: Streamlined registration process with validation checks for accurate user information. Stock Price Lookup: Allows users to retrieve real-time stock prices using stock symbols. Portfolio Management: Facilitates buying and selling of stocks, with transaction records stored securely. Transaction History: Provides a detailed transaction history for user reference and analysis. Optimisations: Caching: Disables caching for real-time updates and accurate stock price tracking. Session Management: Stores user sessions securely on local filesystem for enhanced security. Querying: Utilises efficient SQL queries for seamless data retrieval and management. In summary, the Finance Web Application offers a user-friendly interface, real-time stock management capabilities, and robust security features, making it an ideal solution for managing stock portfolios and financial transactions.

Sep 2021 - Jan 2022

School Management Web App

Freelance

Kumasi, Ashanti Region, Ghana

This web app offers a user-friendly interface, comprehensive features for managing academic activities, and robust security measures, making it a valuable tool for educational institutions. Key Features:• Developed a user-friendly platform accommodating students, teaching staff, and non-teaching staff, delivering customized features for each user group, coupled with multi-level authentication for enhanced security and data integrity.• Implemented personalized dashboards for users to access departmental and program information, announcements, and events, enhancing user engagement and interaction.• Enabled effortless profile management allowing users to update personal details and upload photos, optimizing user experience and satisfaction.• Ensured a responsive design layout for accessibility across various devices for user convenience.• Utilized SQLite for robust database management, incorporating various entities and user logs for activity tracking and maintaining comprehensive records.Optimizations:• Created indexes on key columns in the database for faster search operations, enhancing user experience.• Utilized session management and logging for tracking user activities and ensuring data integrity.Limitations:Does not include features for managing students' fee payment records, which could be a potential enhancement for future iterations.

May 2021 - Sep 2021
Team & coworkers

Colleagues at Outlier AI

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2 education records

Clement Gyasi Siaw education

Bachelor'S Degree, Oil And Gas Engineering

Saint Petersburg Mining University
FAQ

Frequently asked questions about Clement Gyasi Siaw

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What company does Clement Gyasi Siaw work for?

Clement Gyasi Siaw works for Outlier AI.

What is Clement Gyasi Siaw's role at Outlier AI?

Clement Gyasi Siaw is listed as Software Engineer | Python Developer | LLM / AI Trainer at Outlier AI.

Where is Clement Gyasi Siaw based?

Clement Gyasi Siaw is based in Newark, New Jersey, United States while working with Outlier AI.

What companies has Clement Gyasi Siaw worked for?

Clement Gyasi Siaw has worked for Outlier Ai, Dataannotation, Kwame Nkrumah University Of Science And Technology, Kumasi, Self Employed, and Freelance.

Who are Clement Gyasi Siaw's colleagues at Outlier AI?

Clement Gyasi Siaw's colleagues at Outlier AI include Leul Tamrat Temesgen, Ludmila Nazarova, Alex Blackwelder, Eileen Hanlon, and Roddy Tobin.

How can I contact Clement Gyasi Siaw?

You can use AeroLeads to view verified contact signals for Clement Gyasi Siaw at Outlier AI, including work email, phone, and LinkedIn data when available.

What schools did Clement Gyasi Siaw attend?

Clement Gyasi Siaw holds Master'S Degree, Petroleum Engineering from Technical University Of Crete.

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