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AI Engineer with 2+ years in data engineering & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate passionate about Artificial Intelligence and Generative Al with strong experience in Python, SQL, APIs, data engineering, and software development. Experienced in building data pipelines, developing full-stack applications, and collaborating on client-facing software projects. Currently expanding expertise in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, and FastAPI. Eager to contribute to innovative Al-powered solutions while continuously learning emerging technologies.
University of Prince Edward Island
Bachelor of Science · Computer Science
January 1, 2023 – April 1, 2026
Lawton's Drugs
Supervisor, Cash Office
August 1, 2023 – Present
India
Utility Billing ETL Migration Pipeline
June 25, 2026 – Present
Developed a Python-based ETL pipeline to extract, clean, transform, validate, and load large utility billing datasets into PostgreSQL. Automated data preprocessing and validation using pandas and SQLAlchemy to improve data quality and consistency. Designed modular Python scripts for scalable data processing, logging, and error handling. Performed data validation and root cause analysis to identify and resolve inconsistencies before database migration. Wrote optimized SQL queries to verify data integrity and support reporting requirements. Produced technical documentation detailing the ETL workflow, validation process, and database schema.
Guide on the Side Interactive Tutorial Builder
June 25, 2026 – Present
Led a four-member development team in building a client-facing interactive tutorial platform for the University of Prince Edward Island. Gathered user requirements and translated functional needs into software features throughout the development lifecycle. Developed and debugged frontend and backend components using PHP, JavaScript, HTML, and CSS. Investigated and resolved application defects through systematic testing and root cause analysis. Collaborated with stakeholders during project demonstrations and incorporated user feedback into iterative improvements. Leveraged Git and GitHub for version control and GitHub Copilot to accelerate development and improve productivity. Produced installation guides, technical documentation, and user manuals to support deployment and maintenance.
Retail Sales Forecasting System
June 25, 2026 – Present
Built a machine learning model using Python and Scikit-learn to forecast retail sales from historical transaction data. Cleaned, transformed, and analyzed large datasets using pandas to improve model accuracy. Performed feature engineering and data preprocessing to enhance predictive performance. Evaluated model performance using regression metrics and interpreted forecasting results. Generated data visualizations and reports to communicate business insights and sales trends. Documented the project methodology, model assumptions, and implementation process.
Azure Fundamentals (AZ-900)
Microsoft Certified
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from ETL pipelines and interactive tutorial builders to sales forecasting, indicates adaptability and a broad interest in software development. The proactive learning in LLMs, RAG, and LangChain aligns with an innovative and growth-oriented culture. The team leadership experience also suggests a collaborative mindset. However, the current retail supervisor role is not directly aligned with a technical career path, which might indicate a transitional phase.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as communication, problem-solving, organization, and team collaboration, which are crucial for operational fit. Leading a four-member team and collaborating with stakeholders demonstrate leadership and interpersonal abilities. The retail supervisor role, while not technical, reinforces customer support, reporting, and organizational skills.