Hire the Best Deep Learning Experts
in Ethiopia

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

💡 Hey there, Machine Learning Engineer with over 4 years of hands-on experience building intelligent systems, scalable backend architectures, and production-ready ML/NLP solutions. My work spans deep learning, LLM integration, data pipelines, and end-to-end application development across highly specialized domains. Why Work With Me? Expert in Computer Vision & AI Engineering – OpenCV, YOLO, Tesseract, CRAFT Strong Data Science Background – Statistical analysis, hypothesis testing, data modeling Proficient in Machine Learning & Deep Learning – TensorFlow, PyTorch, Hugging Face Cloud & DevOps Skills – AWS EC2, AWS S3, Docker-based Experienced in NLP – BERT, spaCy, NLTK, embedding extraction 🔧 Technical Expertise: ✅ Programming Languages: Python, JavaScript ✅ Data Processing: NumPy, Pandas, SciPy, Scikit-learn ✅ Data Visualization: Seaborn, Matplotlib, Plotly ✅ Machine Learning & AI: TensorFlow, PyTorch, Transformers, Keras ✅ Computer Vision: OpenCV, YOLO, Tesseract, CRAFT, Pillow ✅ Backend: Node.js, Express, REST API ✅ Database: MongoDB, MySQL, PostgreSQL 🔷 Let’s collaborate to turn your ideas into reality! 🤝 If you're looking for a reliable, skilled developer who delivers top-quality work at a fair price, please don't hesitate to contact me.

PhD in Artificial Intelligence and hands on AI Engineer with expertise in MLOps, Agentic AI, Retrieval-Augmented Generation (RAG), Automation Specialist and AI for Embedded Systems. I specialize in building production grade AI systems and conducting research in self-supervised learning, supervised learning, and model fine tuning for both Computer Vision and NLP. My experience spans the full AI lifecycle, including large-scale model training, LLMs, embeddings, vector databases, multimodal AI, AI optimization for resource-constrained devices, deployment, and MLOps. I help startups and businesses transform cutting-edge AI research into scalable, production-ready solutions that deliver real-world impact. What I Bring Generative AI & LLMs – I build practical AI solutions using large language models, including chatbots, RAG systems, fine-tuned models, AI agents, and multimodal applications. Computer Vision & Embedded AI – I develop efficient deep learning solutions for real-world applications, including AI systems optimized for edge and embedded devices. AI Optimization & Efficiency – I optimize models and AI infrastructure to improve performance, reduce latency, memory usage, and operational costs. End-to-End AI Development – From research and prototyping to deployment and monitoring, I take ownership of the complete AI development lifecycle. Innovation & Research – Founder of "NemaNet", an AI-powered plant parasitic nematode detection solution optimized for embedded devices, combining deep learning research with practical agricultural applications. Unique Advantage Many AI professionals focus either on research or software engineering. I combine both, bringing deep expertise in AI research together with hands-on experience building and deploying production-grade systems. From LLM-powered applications and RAG pipelines to computer vision and embedded AI solutions, I transform innovative ideas into reliable, scalable products that deliver measurable business value. If you're looking for an AI partner who can bridge cutting-edge research and real-world deployment, I'd be glad to discuss your project.

I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

Hi there! If you're looking for a results-driven Data Scientist, Machine Learning Engineer, or Data Analyst to help your business growth, you've come to the right place. My mission is simple: turn your data into actionable insights and innovative solutions that drive growth and optimize outcomes. I specialize in helping businesses like yours achieve their goals by: ✅ Building predictive models that anticipate customer needs and optimize resources. ✅ Designing interactive dashboards in Power BI and Tableau for real-time decision-making. ✅ Developing scalable ETL pipelines for seamless data processing and cloud integration. 🔍 What Can I Do for You? Whether you're a startup, an established business, or anything in between, I provide end-to-end data solutions tailored to your needs: 1️⃣ Advanced Analytics & Predictive Modeling Forecast sales trends and improve resource planning. Analyze customer behavior to enhance retention and acquisition strategies. Build powerful machine learning models using XGBoost, Random Forest, LSTM, and more. 2️⃣ Business Intelligence & Visualization Transform your raw data into stunning, insightful dashboards. Track KPIs, sales performance, and customer insights at a glance. Uncover opportunities for growth with visually engaging reports. 3️⃣ Data Engineering & Cloud Solutions Create robust data pipelines using Python, SQL, and cloud platforms like AWS and GCP. Process and analyze large datasets with speed and efficiency. Deploy machine learning models for real-time business intelligence. 🎯 Why Clients Love Working with Me 💡 Client Success Focused: I prioritize understanding your unique challenges and goals to deliver results that exceed expectations. 🏆 Proven Expertise: My academic distinctions and certifications in Power BI, Data Science and Data Analysis demonstrate my commitment to excellence. 🌍 Collaborative & Flexible: I adapt to your preferred communication style and workflow, ensuring seamless collaboration throughout the project. 📌 Who Do I Work With? I specialize in assisting: - E-commerce businesses looking to boost sales and understand customer behavior. - Manufacturers aiming to optimize operations through predictive maintenance. - Hospitality brands needing accurate demand forecasting and reservation insights. Whether you need help with a one-time project or long-term support, I'm here to be your trusted partner in navigating the world of data science. 🚀 Let’s Bring Your Data to Life! Ready to unlock the full potential of your data? Contact me today, and let’s start building solutions that empower your business.

I build production AI systems, scalable software, and algorithmic trading solutions. From AI agents and RAG pipelines to ML models, trading bots, cloud infrastructure, and full-stack applications, I help startups and businesses turn ideas into reliable production systems. ━━━━━━━━━━━━━━━━━━ ✅ WHAT I CAN HELP WITH ━━━━━━━━━━━━━━━━━━ ✅ LLM Applications & AI Agents ✅ RAG Pipelines & Vector Databases ✅ Machine Learning & Deep Learning ✅ AI SaaS Platforms ✅ FastAPI / Flask / Django Backend Development ✅ Trading Bots & Algorithmic Trading Systems ✅ Quantitative Research & Backtesting ✅ AWS / GCP / Cloud Infrastructure ✅ Docker & CI/CD Deployment Pipelines ✅ Stable Diffusion / LoRA Fine-Tuning ✅ TTS / Multimodal AI Systems ✅ REST APIs & Automation Systems ✅ Vue.js & Angular Frontend Development ✅ PostgreSQL & Scalable Database Design ━━━━━━━━━━━━━━━━━━ 🛠️ TECH STACK ━━━━━━━━━━━━━━━━━━ 🔹 Python, TypeScript, Java, C++, C# 🔹 FastAPI, Flask, Django 🔹 Vue.js, Angular 🔹 PostgreSQL, SQL, DynamoDB, Supabase 🔹 AWS, GCP, Azure, DigitalOcean 🔹 Docker, CI/CD, GitHub Actions 🔹 PyTorch, TensorFlow, Scikit-Learn 🔹 Vector Databases & Embedding Pipelines 🔹 AI/ML Training, Fine-Tuning & Inference 🔹 OpenAI, Claude, Open-Source LLMs ━━━━━━━━━━━━━━━━━━ 🚀 SELECTED PROJECTS ━━━━━━━━━━━━━━━━━━ 🟢 Built a RAG-powered SaaS platform called Course Builder using embeddings, vector databases, and LLM workflows 🟢 Developed a live AI streaming/video platform where cartoon-style AI agents generated human-like responses using RAG + TTS pipelines 🟢 Fine-tuned Stable Diffusion models using LoRA techniques and worked on text-to-image systems 🟢 Worked on singing AI and TTS model fine-tuning workflows 🟢 Trained and evaluated LSTM-based models for time-series forecasting and market prediction 🟢 Built scalable FastAPI backend systems, automation pipelines, and production APIs 🟢 Connected and automated trading systems with exchanges and brokers including Binance, Bybit, and Interactive Brokers 🟢 Built algorithmic trading systems and Expert Advisors implementing Opening Range Breakout, Larry Williams breakout strategies, and custom trading logic 🟢 Worked on OpenClaw-related AI/backend engineering and scalable automation workflows ━━━━━━━━━━━━━━━━━━ 💡 ENGINEERING APPROACH ━━━━━━━━━━━━━━━━━━ ✔️ Clean & maintainable code ✔️ Scalable architecture patterns ✔️ Production-oriented engineering ✔️ Strong debugging & optimization mindset ✔️ Research-driven & continuous learner ✔️ Startup-friendly & ownership-driven ✔️ Fast adaptation to new technologies I enjoy building AI systems, machine learning solutions, trading platforms, and full-stack applications that move beyond demos into reliable production products.