Hafsa Salman

Software engineer focused on applied AI/ML - building systems that don't just process data but act on it.

I work across the full stack: from computer vision pipelines and encoder-decoder architectures to cloud-native backends and compliance-aware platforms, with deliberate attention to what happens after deployment; reliability, real-world accuracy, and measurable impact. Engineered a Pakistan Sign Language translator using deep learning to make assistive technology accessible to an underserved population.

I take ownership: if it breaks in production, that's on me.

AI Vision Fellow at ELITE (2026-01 – 2026-01) • Annotated and labeled computer vision datasets using Roboflow, enforcing labeling standards that directly affect downstream model precision.

• Audited annotation consistency across batches to eliminate label noise prior to model training. ML/DL Fellow at Buildables (2025-08 – 2025-11) • Executed end-to-end ML workflows; data preprocessing, feature engineering, model training, and evaluation, using TensorFlow and PyTorch.
• Designed and benchmarked deep learning architectures, iterating on hyperparameters to improve model accuracy across classification tasks.

Software Engineer

Intern at SSGC Head Office (2025-07 – 2025-08) • Redesigned the company's public-facing website in React, migrating from a legacy codebase to a fully responsive, component-driven architecture.

• Refactored monolithic frontend into modular React components, reducing coupling and enabling independent feature deployment across the UI.

Bachelor of Science in Software Engineering – FAST NUCES (2022-08 – 2026-06)

Pre-Engineering in Pre-Engineering – Army Public Degree College (2020-08 – 2022-07)