Abdul

Machine learning engineer with hands-on experience shipping end-to-end AI systems across computer vision, retrieval-augmented generation (RAG), and bioinformatics. Skilled at taking a project from data pipeline through model training to production deployment across mobile, web, and API products, with measurable gains in accuracy and deployment speed. Strong at translating technical results into clear, decision-ready insights for non-technical stakeholders.

Machine Learning Engineering Intern at FlyRank AI (2026-07 – 2026-09)

• Completed 16 applied ML assignments across data wrangling, embeddings & clustering, and intent/opportunity modeling
• Built and presented a capstone project ("Send the Link: Launch, Demo & Story"), reviewed and accepted by the lead track mentor
• Attended 10 program meetings and completed 2 verified Anthropic Academy courses alongside applied coursework
• Strengthened applied ML skills in Python-based data pipelines, model evaluation, and translating technical work into a client-ready launch narrative

Data Scientist at Urban Unit Lahore — Punjab Government (2025-06 – 2025-10)

• Processed and validated district-level socio-economic datasets (2020–2025) supporting government policy decisions affecting 110M+ citizens
• Built a linear regression model with seasonal averaging for district-wise commodity price forecasting under flood and non-flood scenarios
• Delivered 8+ interactive dashboards translating statistical trends into decision-ready insights for non-technical stakeholders

BSc in Bioinformatics – Government College University Faisalabad (GCUF) (2022-12 – 2026-06)