I am a passionate Computer Science student with a keen interest in machine learning, data engineering, and software development. I enjoy building innovative applications that solve real-world problems, such as healthcare diagnostics and legal document automation. Currently, I am pursuing my BSc at Brock University, gaining expertise in software engineering, advanced data structures, and data science. Throughout my internships and research projects, I have developed strong skills in developing web applications, automating workflows, and conducting NLP research to improve AI systems. I am motivated by collaboration and continuous learning, working closely with teams to drive impactful tech solutions in various sectors including finance, healthcare, and education.

Maisam Anjum

I am a passionate Computer Science student with a keen interest in machine learning, data engineering, and software development. I enjoy building innovative applications that solve real-world problems, such as healthcare diagnostics and legal document automation. Currently, I am pursuing my BSc at Brock University, gaining expertise in software engineering, advanced data structures, and data science. Throughout my internships and research projects, I have developed strong skills in developing web applications, automating workflows, and conducting NLP research to improve AI systems. I am motivated by collaboration and continuous learning, working closely with teams to drive impactful tech solutions in various sectors including finance, healthcare, and education.

Available to hire

I am a passionate Computer Science student with a keen interest in machine learning, data engineering, and software development. I enjoy building innovative applications that solve real-world problems, such as healthcare diagnostics and legal document automation. Currently, I am pursuing my BSc at Brock University, gaining expertise in software engineering, advanced data structures, and data science.

Throughout my internships and research projects, I have developed strong skills in developing web applications, automating workflows, and conducting NLP research to improve AI systems. I am motivated by collaboration and continuous learning, working closely with teams to drive impactful tech solutions in various sectors including finance, healthcare, and education.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Machine Learning Engineer at University of Toronto (T-CAIREM Summer Grant)
May 31, 2025 - August 12, 2025
Developed a React-based Azure web application for processing patient video/audio data to aid concussion triaging. Integrated OpenAI API to generate clinical reports for streamlining diagnostics. Built a supervised patient severity detection system using an annotated image dataset and a graph convolutional network implemented in Keras/TensorFlow, with landmark features extracted using Google MediaPipe.
Data Engineer at RBC
August 31, 2024 - August 12, 2025
Utilized Python libraries such as Pandas and Matplotlib to analyze high exposure financial positions and created interactive dashboards for instant key information access, reducing manual data searches. Automated multi-format document scraping systems to save weekly manual labor and created scripts for monitoring KPIs, analyzing risk data, and scheduling UNIX server processes. Built a data pipeline used by 20+ people for international stress testing policy analysis and developed Project Hawkeye, an LLM-based automation tool processing over 10,000 legal reports to enhance document accessibility and reduce manual workload.
Research Assistant at Brock University
May 1, 2023 - Present
Conducted NLP research addressing symmetry, reflexivity, and transitivity in large language models, developing techniques to reduce hallucinations using GPT-3, GPT-4, and LLaMA-1. Built a cross-platform Flutter app matching clients with volunteers using geolocation, chat, and live transit/weather APIs, incorporating data logging for behaviour analytics. Designed and implemented a novel multi-objective GCN recommender system architecture to debias recommendations, improving personalization and mitigating bias compared to existing models.
Site Reliability Engineer at President’s Choice Financial
August 31, 2022 - August 12, 2025
Developed internal analytics infrastructure and automated cross-platform tools integrating JIRA, GCP, Alertmanager, PagerDuty, Kibana, and ServiceNow to improve system uptime and streamline failure communication. Standardized Docker images and optimized deployment, reducing Helm Chart deployment time and cloud resource usage by 65%. Worked on CI/CD pipeline creation and tools integration via Kubernetes, GCP, and Jenkins. Configured Docker containers on UNIX servers for production environments, enhancing scalability and reliability. Created production monitoring dashboards and backend APIs to minimize manual data aggregation and provide real-time system visibility.
Web Developer at Civiconnect
April 30, 2022 - August 12, 2025
Engaged in full-stack web development including prototyping, development, and user testing for responsive, mobile-friendly websites. Designed and developed business websites with integrated Shopify e-commerce, utilizing AWS hosting with SSL-secured domains and Django. Collaborated with stakeholders in agile environments, communicating technical and financial information, establishing timelines, and ensuring feasibility against client requirements.

Education

BSc Computer Science - Statistics Minor at Brock University
January 11, 2030 - June 1, 2025

Qualifications

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Industry Experience

Financial Services, Healthcare, Education, Software & Internet

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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