Shania Siew
AI Research EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Research Engineer with less than a year in AI/ML, RPA, and Full-Stack Development.
Computer Science graduate (pending results) from UWI St. Augustine with a strong academic record, including a National Bursary and two Dean's Honour Roll distinctions, maintaining First Class Honours standing (GPA 3.6+). Experienced in software development, enterprise automation (UiPath), API integration, and applied AI/data science research. Able to design and implement structured solutions across full development workflows and adapt quickly to new technologies in both independent and collaborative environments.
University of the West Indies, St. Augustine
BSc Computer Science (Special) · Computer Science
September 1, 2023 – June 1, 2026
Holy Faith Convent, Penal
Caribbean Advanced Proficiency Examinations (CAPE) · Computer Science, Information Technology, Physics, Communication Studies, Caribbean Studies
September 1, 2021 – June 1, 2023
Holy Faith Convent, Penal
Caribbean Secondary Education Certificate (CSEC) · Biology, Chemistry, Physics, Mathematics, English A, Information Technology, Additional Mathematics, English B, Spanish
September 1, 2016 – June 1, 2021
Dayanand Memorial Vedic School
Primary Education
September 1, 2009 – June 1, 2016
Diagon Consulting Ltd
Automation & AI Research Intern
June 1, 2026 – Present
India
RSC
Volunteer Researcher & Session Co-Host
May 1, 2024 – Present
India
Animals Alive
Volunteer - Animal Care Assistant
May 1, 2024 – August 1, 2024
India
Student Incentive & Volunteer Tracking System
January 1, 2025 – December 31, 2025
Led a team in designing and building a full-stack web application enabling students to log and track volunteer hours, earn reward points, and view participation milestones. Architected the backend using Python and Flask, implementing RESTful API endpoints for user authentication, hour submission, and reward logic. Managed version control and team collaboration workflows via Git, coordinating feature branches, code reviews, and merges across the team. Designed the data model and database schema to support scalable tracking of student activity, rewards, and administrative oversight.
Workforce Intelligence HR Analytics System
January 1, 2025 – December 31, 2025
Developed an end-to-end data science pipeline analysing employee attrition using preprocessing, predictive modelling, and survival analysis. Applied explainable AI (SHAP) to interpret model outputs and ensure transparency in HR decision-making. Evaluated model fairness and business impact through ROI-based analysis, prioritising actionable and ethical outcomes.
Stock Market Prediction System
January 1, 2025 – December 31, 2025
Built a cross-industry forecasting system for financial time series across multiple sectors using ML models. Integrated external datasets – commodity prices, FX rates, industry indicators – to enrich predictive context. Focused on model interpretability and real-world applicability beyond raw accuracy metrics.
Cybersecurity & Technology Workshop
Unknown
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI and data science, aligning well with an AI Research Engineer role. Their involvement in various clubs and volunteer work (Tech Club, Science Club, Toastmasters, RSC Volunteer Researcher) indicates a proactive and engaged individual. The diversity of projects, from full-stack development to advanced AI/ML, suggests a broad technical curiosity and willingness to explore different domains. However, the experience level is entry-level, which might require significant mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates leadership skills through leading a team in a full-stack project and managing version control. Their volunteer experience suggests a collaborative attitude and engagement in STEM. The profile indicates an ability to adapt quickly to new technologies and design structured solutions. However, the provided data does not offer specific insights into stress handling or direct team collaboration dynamics beyond project roles.