Hammad S.

Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

Real-time video surveillance and rescue detection (drowning detection)

AI/ML classification and predictive analytics in mobile applications

Legal Services & Contract Review

Top Data Types

Video

Image

Text

Document

Top Task Types

Object Detection

Classification

Freelancer Overview

AI-Based Drowning Detection System | Python · TensorFlow · Keras · YOLOv9 · OpenCV. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK) and TensorFlow. Education includes Master of Science, University of Hertfordshire (2026) and Bachelor of Technology, Amity University Gurugram (2025). AI-training focus includes data types such as Video, Computer Code, and Programming and labeling workflows including Object Detection and Classification.

Labeling Experience

Flutter & AI Developer (Freelance) - Self-Employed

ImageClassificationObject Detection

Developed AI-powered cross-platform mobile applications using Flutter and integrated backend services with Firebase, TensorFlow, and Python. Built real-time features such as cloud connectivity, object detection, and predictive analytics. Conducted end-to-end testing, experimentation, and created technical documentation for research-oriented software deliverables. • Designed and implemented Flutter app architectures and cross-platform UI • Integrated Firebase services for authentication, storage, and real-time data • Applied deep learning workflows with TensorFlow for classification and detection • Performed QA through testing and documented experiments and results

2023 - Present

Flutter & AI Developer (Self-Employed / Freelance) | Flutter · Firebase · TensorFlow · Python

Classification

Developed AI-powered cross-platform applications that apply machine learning models to deep learning classification tasks. Implemented and validated workflows that rely on prepared labeled datasets and trained inference pipelines. Produced documentation, testing, and experimentation outputs to support research-oriented AI development. • Built Flutter/Firebase apps integrating TensorFlow/Python model inference • Implemented predictive features including object detection and analytics • Conducted end-to-end testing, experimentation, and technical documentation • Supported research-oriented experimentation based on model outputs

2023 - Present

AI-Based Drowning Detection System | Python · TensorFlow · Keras · YOLOv9 · OpenCV

OpenCV AI Kit (OAK)VideoObject Detection

Built and trained deep learning detection models for real-time surveillance and rescue use cases using labelled video datasets. Achieved 89% detection accuracy and improved results through data augmentation and optimized training pipelines. Delivered end-to-end model development support aligned with computer-vision labeling workflows. • Trained CNN and YOLOv9 models on labelled video data • Applied data augmentation to strengthen model robustness • Optimized training pipelines for improved detection performance • Supported real-time integration requirements for surveillance/rescue scenarios

2023 - Present

Education

Work History