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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.…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.

Sajid Ahmed Ansari

AI Engineer, Data Scientist, Full Stack Developer, +2

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Amharic

Advanced

Work Experience

AI / ML Intern at NRSC — National Remote Sensing Centre (ISRO)

August 1, 2025 - October 1, 2025

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.