Experience

M.Sc. in Applied Computing

B.Sc., Statistics and Computer Science · Minor in Finance

• Cumulative GPA 3.93 / 4.0 (Distinction); major GPA 3.99 / 4.0.
• Faculty of Science Scholarship (top 5%); Dean’s Honor List (top 10%).

Data Engineering Developer II, Data Platform and AI

• Contributed to a GCP medallion data platform: zone responsibilities, quality standards, auditability, lineage, and governance across business domains.
• Built reusable SOR-to-RAW ingestion templates for RDBMS, Salesforce, ServiceNow, SharePoint, and files, cutting new-source onboarding effort by about 70%.
• Designed a Spark RAW-to-STD transformation framework with metadata-driven processing, schema validation, audit tracking, and upserts.
• Built a manifest-driven Data Platform Self-Serve Agent with Gemini 3.1 Pro to guide pipeline creation, validate configs, generate templates, and recommend quality rules.
• Implemented a RAG system for responses to financial proposals, reducing manual effort by about 20%.
• Led the Unit Cost project across 10+ high-volume sources for finance and network provisioning; insights reduced provisioning costs by about 20%.
• Wrote Terraform IaC and CI/CD for GCP pipelines across dev, staging, and prod, shortening data-product build time by about 60%.
• Operated 100+ production pipelines with observability, alerting, and failover for reliable low-latency delivery.

AI Research Assistant

• Led work on fairness in recommender systems, including a metric for attribute-wise popularity bias and its effect on producer demographics.
• Studied policy generalization in multi-agent RL, applying MAML to speed convergence in decentralized settings.

Teaching Assistant

• COMP 273 Introduction to Computer Systems
• COMP 251 Algorithms and Data Structures
• COMP 360 Algorithm Design