My Portfolio
Embedded Files
Grace Nyokabi Nyutu
Grace Nyokabi Nyutu
London, England
Skills and Competencies
Gen AI
Gen AI
Prompt Engineering
RAG
Langchain
Computer Vision
Vector databases
ML Eng
ML Eng
MLOps
CI/CD
Deep learning
Scikit Learn
Fine tuning
Fine tuning
TensorFlow
Pytorch
LLM
Transformers
Software Eng
Software Eng
Python
JavaScript
FastAPI
Flask
Unit testing
About me
A Generative AI Engineer skilled in training and fine-tuning LLMs, building RAG systems, prompt engineering and AI Chatbot development. Passionate about exploring the potential of Generative AI in NLP, Computer Vision and Content generation. Looking for a role where I can contribute to cutting-edge projects, collaborate with interdisciplinary teams, and continue pushing the boundaries of Generative AI technologies to create innovate solutions for real-world challenges.
Education
- Moringa School ( 2021-2022)
Software Engineering
Software Engineering
Skills Acquired
Web development
Object oriented programming
Project management
Scrum
- Kisii University ( 2011-2015 )
BBAM(Management Science)
BBAM(Management Science)
Courses taken
Information Technology
Programming
Business Management
Data analysis
Operations Research
Work Experience
- Business Administrator
Kenexports (Oct 2023- Feb 2024)
Kenexports (Oct 2023- Feb 2024)
Spearheaded the implementation of a new Enterprise Resource Planning (ERP) system which enabled customers book collections and track their goods while on transit, this increased customer satisfaction by 50%. It also improved the business operational efficiency by reducing turn around times for routine tasks by over 60%.
Set up mobile phone-based money transfer services (MPESA, Airtel Money) APIs for customer payments into the Vend app using Flask, Python and SQL skills. This helped customers to pay for their orders via the mobile phone based money transfers which increased transactions volumes by 60%.
Designed and helped create the front end of the Vend application using Figma, React, HTML and CSS which increased customer user experience
Projects
Contract Advisor RAG is designed to develop an advanced system for Contract Q&A. Users can ask questions about contracts and receive accurate, context-rich responses. Leveraging state-of-the-art technology, The goal is to enhance contract accessibility and understanding, facilitating improved decision-making for all stakeholders.
Precision RAG project provides a range of services to optimize Language Models (LLMs). These services include automatic prompt generation, evaluation data generation, and prompt testing and ranking. With simplified processes and improved performance, it's the ideal solution for maximizing the efficiency and reliability of LLM applications.
LLM_Amharic RAG enables quality embedding and text generation for Amharic language. it uses advanced Language Models to craft captivating and contextually relevant Amharic text. Revolutionize your advertising strategy with our cutting-edge solution designed for the Ethiopian market..
Transformative Redash add-on which integrates Flask, PostgreSQL, and OpenAIs GPT-3.5 Turbo for advanced data analytics with natural language processing and SQL translation. Empowering non-technical users to effortlessly fetch and visualize data using dynamic interactions and intelligent query generation.
Page updated
Google Sites
Report abuse