Eroju Collin

Machine Learning Engineer

$3200 / hour

March 12, 1989

About Candidate

AI Software Engineer with over 3 years of experience in developing and deploying computer
vision and deep learning models for production-scale applications. Proficient in Python and
Java, with expertise in frameworks such as TensorFlow, Keras, and PyTorch for image
classification, object detection, and segmentation. Experienced in building scalable software
architectures, developing data pipelines, and leading teams in innovative AI solutions. Adept
at solving complex computer vision problems and delivering machine learning applications
that meet business needs.

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Education

Bachelor of Library and Information Science 2015

Uganada Christian University

Library and Information Science (LIS) training covers a wide range of topics and skills related to organizing, accessing, and managing information. I learn about information organization, retrieval, collection development, information literacy, and library management. I learn about different metadata standards, classification schemes, and indexing tools for classifying and cataloging information resources. I also learn about search strategies, search engines, and evaluation criteria for information sources. Collection development covers selection criteria, acquisition processes, and budgeting strategies for libraries and information centers. Information literacy involves teaching others to effectively locate, evaluate, and use information resources. Library management covers staffing, budgeting, facilities management, and strategic planning. As a graduate, I can work in libraries, archives, museums, and information centers.

Masters in Information Technology 2022

Uganada Christian University

My Master's training in Information Technology (IT) focused on developing your technical and analytical skills in various areas related to the field of IT. I learned programming languages like Java, Python, and Ruby, as well as frameworks and development methodologies, which are important for creating software applications. I also learned about database management systems, data modeling, and SQL, which are necessary for designing and managing databases for various applications. I learned about networking protocols, security measures, and system administration tools, which are important for designing, deploying, and managing computer networks and systems. Additionally, I learned about data analysis and visualization tools, such as Tableau, which are useful for collecting, processing, and analyzing data to gain insights and make informed decisions. Finally, I gained knowledge in project management methodologies, tools, and best practices, which are necessary for managing IT projects.

Awards

Certified in Data Science & Machine Learning (Coursera) 2018

This certification provided a comprehensive understanding of data science and machine learning, covering the entire data pipeline from collection to deployment. Gained expertise in data preprocessing and EDA using pandas, NumPy, and Matplotlib, handling missing values, feature engineering, and outlier detection. Implemented supervised and unsupervised ML models, including regression, decision trees, SVMs, K-Means, and PCA. Built deep learning models using TensorFlow and Keras, applying CNNs for image recognition and RNNs for time-series forecasting. Evaluated models with cross-validation, ROC curves, and hyperparameter tuning (GridSearchCV, RandomizedSearchCV). Worked with Apache Spark for scalable machine learning and parallelized large datasets. Learned model deployment using Flask, Docker, and MLOps for continuous integration and monitoring. This certification strengthened my ability to analyze large datasets, apply ML techniques, and deploy AI solutions for real-world applications.