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Mistir Nigusse
Addis Ababa, Ethiopia
BahirDar University (2019-2023)
BSc. (Software Engineering)
BSc. (Software Engineering)
About me
Junior Generative AI Engineer with Software Engineering(MERN stack) background. Expertise in fine-tuning LLMs, building RAG pipelines, and chatbot development. Skilled in integrating different ML models into web and mobile applications. Proven ability to evaluate, optimize, and enhance AI workflows.
Generative AI
Generative AI
LLM (OpenAI, BERT, LLama)
RAG pipelines
Finetuning
Langchain
RAGAS
Vector Databases (Chroma, Weaviet, Pinecone).
Software Devlopement
Software Devlopement
MERN stack
SDLC
OOP
Agile Methodologies
CI/CD
Languages and Frameworks
Languages and Frameworks
Python
Flask Api
Pandas
Numpy
Scikit-learn
Html, CSS, Javascript
React Js
Node/Express JS
Flutter / Dart
Tools and Enviroments
Tools and Enviroments
Github
Jupyter Notebook
HuggingFace
AWS
Slack, Trello
Education
10 Academy ( 2024-2024 ) Project based 12 week intensive training on ML, Gen AI and DE
Key courses:
Generative AI
Machine Learning
Data Engineering
Bahir Dar University ( 2019-2023 ) BSc.(Software Engineering)
key courses
Software Development life cycles
Aritifical Intellegence
Mathematics : Discrete maths, applied maths and probability and statstics
programming: web, Java, system, operating, mobile
Software Design patterns and architecture
Algorithms and DataStructure
Database Management
Key projects:
Alga hotel booking mobile app
Hakime Digital healthcare Dashboard (Super Admin)
Hakime Digital healthcare Dashboard (Pharmacy Admin)
Work Experience
Software Engineer - Qingdao Hisense Trans Tech - Addis Ababa, Ethiopia - 15/1/2024- Present
Managed the pilot implementation of an Intelligent Transportation Software System (ITS) for the Addis Ababa City Bus Authority. This large-scale IoT-based software optimizes bus dispatching and monitoring. Successfully oversaw the pilot deployment across 177 routes.
Junior Software Engineer - Platform Technologies - Addis Ababa, Ethiopia - 29/08/2023 - 12/1/2024
Web dashboard planning, design, and prototype development were executed using Flutter web, BLOC, Node/Express, and MongoDB. The company’s existing SaaS struggled with client and revenue management. A functional prototype dashboard was designed and developed to effectively manage transaction and client data, positively impacting sales and revenue..
Intern Front-end developer - RCNDC - Addis Ababa, Ethiopia - 08/06/2022 - 08/08/2023
Responsibilities included developing new features, debugging, testing, refactoring, and maintaining a mobile application codebase utilizing Flutter/Dart, GetX, and GraphQL API. Additionally, front-end web application development using React.js, Tailwind CSS, and Redux was undertaken. A cleaner, more testable, and maintainable code structure was achieved, resulting in minimized bugs and scalability for new front-end web application features using React.js, Tailwind CSS, and Redux. An e-commerce website was developed for a client and subsequently adapted for a similar platform.
Projects
A Retrieval-Augmented Generation (RAG) system for contract Q&A, enabling to pose questions and receive relevant answers. Implemented using langchain, chroma db, GPT-4 model and RAGAS for evaluating performance
AI-driven prompt generation and evaluation system, designed to optimize the use of Language Models (LLMs) in various industries. The project consists of both frontend and backend components, facilitating prompt generation, automatic evaluation data generation, and prompt testing. Implemented using React Js,chroma, langchain, GPT-3.5-turbo model, RAGAS and Flask API
An AI chatbot that is capable of classifying Amharic news data into categories such as Sport, Business, Entertainment, Politics, International and local news. Implemented using BERT-small-Amharic model, React js with Tailwind CSS, Flask API and Amharic news dataset from Kaggle, labeled by category
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