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Machine Learning Engineer with 3+ years of experience in developing, deploying, and monitoring scalable machine learning models. Proficient in various domains including Machine Learning, Data Science, Computer Vision, and Natural Language Processing. Skilled in MLOps with a strong track record of building end-to-end ML lifecycles, orchestrating ML pipelines, and implementing CI/CD. Proven ability to solve real-world problems through successful deployment of machine learning pipelines and models. Here are my specific fields of expertise with Machine Learning and Deep Learning technologies: ✅ Computer Vision: • Image Classification • Object Detection • Object Segmentation • Object Tracking • Pose Estimation • Face Recognition • Visual Question Answering • Optical Character Recognition (OCR) ✅ Natural Language Processing: • Chatbots • Text Classification • Text Summarization • Question Answering ✅ Main Tools: • ML Framework & Libraries: Pytorch, TensorFlow, Keras, Scikit-Learn. • Programming: Python, Golang, C++, Haskell, Matlab. • Back-End: Django, FastAPI, Flask, Gin, RESTful APIs, GORM, GraphQL • Database: Postgres, MySQL, MongoDB, SQLite, Redis, BigQuery. • Data Engineering & MLOps: DBT, MLFlow, PySpark, Kafka, RabbitMQ, Grafana • Orchestration & Workflow Managment: Apache Airflow, Kubeflow, Argo, Prefect • Containerization & Cloud Services: Docker, Docker-Compose, Kubernate, Terraform, Azure ML. I believe that I can provide the best services to fulfill your task. Looking forward to here from your side and long-term project relationship. Thank you for visiting my profile!

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.

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

I build ML systems that work in production, not just in notebooks. What I've shipped recently: - Fine-tuned LLM for a hospital. Doctors now query about patients based on their records in less than 30 seconds. - Led a team of 6 building a computer vision system that processes 500K+ chess positions at 97% accuracy. - Built a RAG-powered document intelligence API that handles 200+ documents per hour. - Published a peer-reviewed paper in Elsevier on physics-informed ML. I work best with clients who need: - LLM fine-tuning and RAG systems (LoRA, QLoRA, Hugging Face) - Computer vision for quality control, detection, and classification - Production APIs around ML models (FastAPI, Docker) - Edge AI optimized for low-cost hardware I communicate clearly, show progress daily, and deliver on deadline. 5+ years of remote work experience. Not a good fit if you need generic ChatGPT wrappers. I build real engineering.

Hi, I am an electrical engineer, software engineer, and data science & analytics expert. Are you looking for someone with: ✅ - Extensive experience in machine learning, including predictive modeling, anomaly detection, and recommendation systems? ✅ - Proven expertise in developing computer vision applications, including classification, detection, and segmentation? ✅ - Proficiency in NLP-based application development, such as sentiment analysis, named entity recognition (NER), and chatbot creation? ✅ - Strong background in image processing and OCR application development, utilizing tools like Tesseract, Google Vision API, Microsoft Vision API, and Amazon Textract? ✅ - Advanced programming skills in C#, VB.NET, and Python? ✅ - Expertise in data scraping, data annotation, and model training? ✅ - Specialized knowledge in object and data localization? ✅ - Extensive experience in data mining and extracting valuable insights from large datasets? If so, I can be of help.