Sara Qarab

• Designed and built an ETL/EDL pipeline in Python to ingest Azure DevOps data, transforming
  it into structured Excel test plans, eliminating ~90% of manual preparation time.
• Independently initiated and owned end-to-end security compliance for all automation
  repositories: coordinated onboarding to Fortify and Mend, initiated SVA, SAC, and DVA
  vulnerability scans, and liaised with the CMDB team to assign official App IDs; driving a cross-
  functional process requiring alignment across security, infrastructure, and engineering.
• Performed full security remediation of automation codebases: identified and removed all
  hardcoded secrets, enforced secure credential practices, and created attestation requests in
  GitHub to meet enterprise compliance standards.
• Competed in an internal AI agent innovation challenge, building an authentication support
  agent on S&P's Spark Assist platform (internal GPT+n8n) to resolve user access issues
  through conversational AI.
• Designed and executed test coverage for KOS (KeyOnlineService) entitlement logic, mapping
  user-level access restrictions to platform areas through both exploratory investigation and
  automated API validation.
• Verified and validated Pronto readability scores on earnings call transcripts, ensuring
  accuracy of communication quality metrics powering Document Intelligence features.
• Automated API testing for Document Intelligence sentiment analytics: language complexity,
  numerical transparency, and net positivity scoring on financial transcripts.
• Migrated a legacy Java automation suite to an in-house Python framework, reducing
  onboarding time and improving long-term maintainability across the team.
• Leveraged SQL for test data engineering , designing queries and manipulating databases to
  construct reliable, representative datasets for automation and validation workflows.
• Operated within a Scaled Agile Framework.

• Built and shipped REST APIs in Python/Tornado, containerized with Docker so deployments
  stayed consistent across environments
• Re-architected and built a Python/Tornado backend report-generation server from scratch,
  serving as sole owner and SME, so that report workflows across product lines no longer
  depended on manual generation.
• Owned the backend for a digitized prescription system end-to-end: APIs, report generation,
  prescription-to-PDF conversion, and Dialogflow chatbot integration, so prescriptions moved
  from paper-based to digital, automated workflows.
• Developed a voice-command-enabled web chatbot, reducing user manual effort by ~40%
• Onboarded and mentored junior engineers on best practices; authored internal training docs
  so new hires ramped up independently
• Built a Python/Tornado backend for a clinic inventory management system so that clinics
  could track stock without manual record-keeping.
• Maintained a backend server receiving continuous CTG device data via Bluetooth, fixing early
  syntax defects and monitoring data integrity during device operation so that clinical data
  streamed reliably with minimal, rare failures.

• Planning, overseeing, and leading IT projects from gathering requirements through to completion.
• Obtaining and evaluating customer feedback to inspire project improvements and implement necessary changes and improvements.
• Managing e-commerce websites (WordPress)
• Provide information on latest IT advancement and ideas to the team for our prospects clients

Worked on projects primarily involving microcontrollers and their interfacing with GLCDs.

• GUI Automation: web app automating GUI tasks via hand sketch and voice command
  recognition for reducing manual efforts by 40%.
• Database design automation (Research and POC): Aided in creating a database design
  automation app, boosting efficiency by 25%.
• Dialogflow integration in web apps: Integrated Dialogflow into web apps with custom
  webhooks, enhancing user interaction by 40%
  Studied Deep-learning (CNN and NLP), Database design (MySQL), HTML, Angular, CSS

• Final Year Project: Digital Sketch Recognition for GUI Automation with Virtual Assistant.
• Research paper: Survey on Machine learning techniques.
  to detect cloud-based botnets.
• 1st Prize HITEC University Robotics Competition (2018).
• 3rd Prize International Islamic University MATLAB Programming Competition (2017).