Asif Ibrahim

Support AI-focused software development by building and testing 3+ product features, translating requirements into user stories, documented tasks and production-minded AI workflow improvements. Work with prompts, structured data flows and AI-assisted outputs to improve retrieval quality, response consistency, validation, usability and human-in-the-loop review processes. Collaborate with technical and non-technical stakeholders in an Agile startup environment, contributing to demos, testing, debugging and continuous improvement of AI-enabled product workflows.

Software Engineering Intern - SYNK - Remote

(2026-05 - 2026-09)

• Support AI-focused software development by building and testing 3+ product features, translating requirements into user stories, documented tasks and production-minded AI workflow improvements.
• Work with prompts, structured data flows and AI-assisted outputs to improve retrieval quality, response consistency, validation, usability and human-in-the-loop review processes.
• Collaborate with technical and non-technical stakeholders in an Agile startup environment, contributing to demos, testing, debugging and continuous improvement of AI-enabled product workflows.

Technology Developer Intern - Barclays Bank PLC - Knutsford, UK

(2025-06 - 2025-08)

• Built Python, SQL and Snowflake-based automation tools across 3 business-critical workflows, improving data extraction, validation, reporting accuracy and repeatability in financial technology operations.
• Investigated 30+ root-cause issues across data-quality risks, exception trends, process weaknesses and control gaps, producing technical summaries for engineering, operations and business stakeholders.
• Prepared 15+ dashboards, analytical reports and stakeholder summaries to support trend analysis, issue prioritisation, data-led decision-making and operational visibility.

Spring Intern - Bloomberg LP - London, UK

(2024-04 - 2024-04)

• Gained exposure to enterprise financial technology platforms, market data products, client-facing analytics and scalable software systems used by global finance professionals.
• Completed software engineering and analytics insight sessions focused on data quality, platform reliability, user workflows, APIs and trusted data in regulated financial environments.

BSc - Computer Science - University of Lancashire (2023-09 - 2026-06)