Sajid Ahmed Ansari
I'm Sajid Ahmed Ansari, CS graduate and Master of IT AI candidate at Macquarie University, Sydney.
About
I’m Sajid Ahmed Ansari, CS graduate and Master of IT AI candidate at Macquarie University, Sydney. I enjoy building end-to-end deep learning pipelines for computer vision and NLP, and I combine ML with full-stack development to ship production-ready AI systems.
I completed an AI/ML internship at NRSC (ISRO) where I designed scalable models, deployed FastAPI services, and demonstrated cross-domain generalization. I’m a national-level athlete and a collaborative, solution-oriented engineer eager for internships and graduate roles.
- Joined March 2026
Languages
- AmharicAdvanced
Industry experience
- Software & Internet
- Education
- Government
- Professional Services
- Media & Entertainment
Work experience
Trained a scaled-down VGGNet with a custom attention mechanism for crowd density estimation on ShanghaiTech, achieving MAE ~98–100 on dense scenes, outperforming full VGG16 (MAE ~142) and VGG19 (MAE ~173) at a fraction of compute cost. Engineered a hybrid density map generation and augmentation pipeline handling sparse to ultra-dense crowd scenarios, deployed as a live FastAPI inference API. Demonstrated successful generalisation to Indian crowd scenarios without retraining — validating real-world cross-domain applicability.
Education
Certifications and awards
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