• Ali Haidar 

    alihaidar@Live.ca

     

    EDUCATION

    University of North Dakota, Grand Forks, ND

    Ph.D. in Computer Science (Current)

    • Advisor: Dr. Sicong Shao
    • Research Focus: Machine Learning, Cybersecurity

    Arizona State University, Tempe, AZ

    M.S. in Computer Science (Graduated 2022)

    • Relevant Coursework: Data Visualization, Software Security, Applied Cryptography, Statistical Machine Learning, Info Assurance & Security, Deep Learning in Visual Computing, Data Mining, Mobile Computing, Engineering Blockchain Applications, Knowledge Representation, Data Processing at Scale, Bio Inspired Computing.
    • Project Portfolios: Hyperledger Fabric, Spatial Analysis, CTF (Capture The Flag).

    Fort Hays State University, Hays, KS

    B.S. in Computer Science (Graduated 2020)

    • Relevant Coursework: Software Engineering, Computer Architecture, Data Structures, Discrete Math, Object-Oriented Programming, Programming Languages, Front-End Web Development, Back-End Web Development, Database Design and Programming, Computer Graphics, Operating Systems, Assembly Language. 

    PROFESSIONAL EXPERIENCE

    Centric Software, Campbell, CA

    Technical Consultant, 6/1/2023 - Present (40 hours/week) 

    • Provide technical leadership and support to pre-sales and implementation teams, designing and delivering Centric 8 Solutions for diverse industries. Conduct comprehensive analysis of customer requirements, mapping them to Centric 8 configurations, ensuring seamless integration with related systems. Guide process-system alignment practices, validating solutions, and documenting specifications. Configure out-of-the-box (OOTB) settings, map customer business processes, and advocate best practices. Uphold quality software engineering processes and Agile practices, driving project success and customer satisfaction.
    Oracle, Kansas City, MO

    Interface Engineer, 5/1/2020 - 6/1/2023 (40 hours/week) 

    • Client-facing role, responsible for implementing Interoperability products, installing and configuring interfaces, and coding basic interfaces. Facilitated integration, troubleshooted and resolved system interface issues, and provided support during testing phases. Utilized scripting skills to ensure interface conformity with external system specifications. Developed and deployed automation tools to optimize daily activities and successfully deployed and maintained complex testing environments. Collaborate closely with cross-functional teams, including developers, analysts, and healthcare professionals, to ensure the successful delivery of interface solutions that meet client needs. 

    Technical Skills

    • Programming & Scripting Languages: Python, C++, SQL, JavaScript, Bash/Shell
    • Machine Learning & AI Tools: TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, NLTK, SpaCy, Isolation Forest, One-Class SVM, Autoencoders, PCA, t-SNE, Random Forest, XGBoost, SVMs
    • Data Science & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Plotly/Dash, Jupyter Notebooks, Tableau
    • Cloud & Big Data Tools: AWS (S3, EC2, Lambda), Docker, Apache Spark, Kubernetes
    • Cybersecurity: Snort, Wireshark, Zeek, Splunk, MISP, Ghidra, Nmap, Burp Suite, Fail2Ban
    • API Development & Testing: Postman, REST API
    • Version Control: Git/GitHub, GitLab, JIRA

    Publications

    • “Anomaly Transformer-based System Log Anomaly Detection,” IEEE CARS, 2024.