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in Ethiopia

Data Analyst Specialized in AI, Machine Learning, Renewable Energy & Sustainability Experience: 4 years as a data analyst, specializing in harnessing data to solve complex problems and drive strategic decision-making. Technical Expertise: ✅ Data Collection & Management: Proficient in SQL, web scraping APIs. ✅ Data Cleaning & Transformation: Skilled with Python libraries. ✅ Data Analysis & Modeling: Experienced in using statistical software like R and machine learning libraries. ✅ Data Visualization: Advanced capabilities in Tableau and Power BI. Industry Specializations: ✅ Renewable Energy Data: Analysis of weather data, project performance, and risk data. ✅ Project Management Data: Expertise in managing schedule data, budgeting, and resource allocation. ✅ Notable Projects: Project #1: Published a scientific paper on long-term power generation forecasting for Adama II wind farm using machine learning models. Key impact on renewable energy planning and optimization. Project #2: Successfully monitored and evaluated multiple energy development projects for Ethiopian Electric Power, integrating technical, economic, social, and environmental perspectives for comprehensive project assessments. Areas of Interest: ✅ Renewable Energy Projects: Focused on optimizing project performance, enhancing risk management, and providing data-driven decision support. ✅ Sustainability Analysis: Committed to evaluating the environmental and social impacts of projects. ✅ Data-Driven Research: Dedicated to utilizing robust data analysis to address specific research questions within the renewable energy sector. ✅ Broader Industry Applications: Actively expanding expertise across sectors including Finance, Healthcare, Manufacturing, Retail, Marketing, Artificial Intelligence, Cybersecurity, and the Internet of Things (IoT). Thanks for Visiting my profile; Let's talk for more.

AI Engineer and Data Scientist with 4+ years of experience building and deploying production AI systems across healthcare, ESG, and enterprise domains. My work spans the full stack, from deep learning and computer vision to LLM applications and Retrieval-Augmented Generation (RAG). Most recently, I led AI engineering for Amplitude Ventures (Norway), designing LLM-based systems and RAG pipelines with vector databases for enterprise knowledge extraction, and architecting the data infrastructure behind them. Before that, I built ML models and ETL pipelines for an ESG automation platform, and earlier led data-driven diagnostic systems for the Amhara Public Health Institute. I hold an MSc in Artificial Intelligence and Data Science from Bahir Dar University, and my research has been published in Springer and IEEE (2025) — including a A noise-robust framework for Amharic speech recognition and a deep learning system for Ethiopian Sign Language recognition. This gives me hands-on depth in an area that few AI engineers touch: multilingual and low-resource language modeling. Core stack: Python, PyTorch, TensorFlow, LangChain/LlamaIndex, Hugging Face, SQL, vector databases, Docker. If you're building an LLM-powered product, a RAG system, or need AI applied to underserved languages or domains, I'd like to help.

As for technology and science jobs, there are opportunities for both lecturers and engineers. My name is Amanuel, but you can call me Aman. Currently, I work as a lecturer in IoT at the Department of Electromechanical/Mechatronics Engineering. I have been working in this field over four years. For my M.Sc. thesis in Mechatronics Engineering, I designed an AI-based autonomous robot intended for hospital use. This robot employs deep reinforcement learning (DRL) and DL-based robots using programming languages such as Python and C/C++. I built a prototype of this robot using the NVIDIA JETSON NANO 2GB developer kit and ARDUINO UNO as master and slave. The SGD (Stochastic Gradient Descent) algorithm is an essential algorithm for Gradient Descent that was used in this project. I also have extensive experience with SolidWorks and AutoCAD and have used MATLAB to implement classical controllers such as PI and PID, interfacing them specifically with SolidWorks. Consequently, I believe I am well-equipped to collaborate with and support individuals in the field of AI and programming. **** SERVICE AREAS **** 🟠 Machine Learning: ✅ Machine learning model development and implementation ✅ Data preprocessing and feature engineering ✅ Supervised learning (classification, regression) ✅ Unsupervised learning (clustering, dimensionality reduction) ✅ Deep learning and neural networks ✅ Natural language processing (NLP) tasks ✅ Recommendation systems ✅ Time series analysis and forecasting ✅ Model evaluation and performance optimization 🔴 Computer Vision: ✅ Image classification and object recognition ✅ Object detection and localization ✅ Image segmentation ✅ Facial recognition and biometrics ✅ Image and video analysis ✅ Feature extraction and representation learning ✅ Optical character recognition (OCR) ✅ Pose estimation and tracking 🟣 Model Evaluation and Performance Optimization: ✅ Model validation and evaluation metrics ✅ Hyperparameter tuning and optimization ✅ Performance optimization for scalability and efficiency ✅ Debugging and troubleshooting ML models **** Proficient in the following PYTHON Libraries for ML/DL projects **** ✔️Tensorflow ✔️ Keras ✔️ PyTorch ✔️ Pandas ✔️ NumPy ✔️ SciPy ✔️ Python Scikit-Learn ✔️ Statsmodels ✔️ Matplotlib ✔️ OpenCV ✔️ PIL **** Successfully Completed jobs in Upwork **** ➡ Emotion detection using CNN on the FER2013 dataset: Video Classification Deep Learning ➡ Stock price prediction using different predictive algorithms: Need an AI expert for stocks ➡ Computer vision using YOLOv5 PyTorch model: Weapon detection using Yolo and SURF Algorithm ➡ Building Predictive model for stocks (ForEex ): Build me a deep learning AI model from my data ➡ Build speech synthesis model using BARK, Tortoise, and SVC pre-trained models: Voice Cloning text to speech (custom voice) ➡ Create an object detection AI model for refrigerators and turn it into an API ➡ Python Developer - Depth-Enhanced CNN Model Specialist ➡ Research and Compare various AI Models ➡ Data Analyst and Engineer **** Successfully Completed projects **** ✳ ML-based Stroke prediction ✳ Apple Price Prediction using RNN/LSTM ✳ Sign Language Recognition System using Random-Forest ML algorithm ✳ Alphabet Recognition (EMNIST) based on OpenCV, Convolutional Neural Network (CNN) ✳ Object Detection-DL and OpenCV ✳ ML-based Stroke prediction: LR, RNN/LSTM, Random-Forest, and Decision-Tree algorithms. ✳ AI/DL-based Autonomous navigating and patient follower robot using Nvidia Jetson Nano DK

AI Engineer with a strong foundation in data analysis, machine learning, and building intelligent systems that translate complex data into actionable insights. Experienced in developing and optimizing AI-driven solutions, working with large datasets, and implementing models that enhance decision-making and operational efficiency. Proficient in Python, machine learning frameworks, and data tools, with a focus on deploying scalable AI applications. Passionate about leveraging artificial intelligence to solve real-world problems and drive innovation.

I help startups and growing businesses turn product ideas into reliable SaaS platforms, mobile apps, dashboards, and AI-powered features that are ready for real users not just demos. I work across the full product lifecycle: planning, architecture, backend, frontend, mobile, deployment, debugging, and scaling. Whether you are building an MVP, improving an existing product, or fixing a system that has outgrown its first version, I can help you move faster without creating technical debt. What I build • SaaS web apps, dashboards, and internal platforms • Flutter mobile apps for iOS and Android • Secure REST and GraphQL APIs • AI-powered product features using LLMs and structured outputs • Performance fixes, refactors, and scaling improvements • Backend systems with authentication, payments, workflows, and integrations Tech stack Frontend: React, Next.js, Vue, Nuxt, TypeScript, JavaScript, Tailwind CSS, Redux, Zustand, Apollo Client Backend: Django, Ruby on Rails, FastAPI, Express, Go, REST, GraphQL, Hasura, Apollo Server Mobile: Flutter, iOS, Android Database & Cloud: PostgreSQL, MySQL, Docker, CI/CD, Google Cloud Platform AI: LLM integrations, structured outputs, streaming UX, prompt workflows, guardrails, and production-ready AI features Why clients work with me I don’t just write tickets and disappear. I ask the right questions, think through the product, communicate clearly, and take ownership from idea to deployment. You can expect clean code, realistic timelines, clear updates, and practical decisions that support the product long term. I have worked on SaaS platforms, financial systems, EdTech products, automation tools, mobile apps, and high-performance dashboards. If you are building a SaaS product, launching a mobile app, adding AI features, or improving an existing system, send me your goals, current stack, and timeline. I’ll help you figure out the best next step.

I'm a Software and AI Engineer with 5+ years of experience building full-stack systems, AI-powered applications, and production grade backend infrastructure. I specialize in Ruby on Rails, Python, Node.js, and TypeScript, with deep hands-on experience in LLM integration, NLP pipelines, computer vision, and Kubernetes based deployments. My recent work spans building humanitarian tech platforms, developing AI agents for full stack applications, and running applied ML research on Vision Transformers. I've worked with AWS, GCP, Docker, Langchain, PyTorch, and TensorFlow and I'm comfortable reviewing, validating, and extending AI-generated code responsibly. Beyond shipping code, I care about system reliability, clean architecture, and building things that hold up under real world pressure. I'm drawn to meaningful work social impact platforms, research adjacent engineering, and systems that need to actually scale. I work at the intersection of software and institutional digitalization, driving the modernization of knowledge management systems, standardizing data workflows, and translating legacy processes into scalable digital infrastructure. Strong communicator. 5-star rated. Ready to build something that matters!