Javed S

Python Developer

Jul 2022 - Present • 3 yrs 10 mos

AI-Based Image Analysis System Developed computer vision solutions using Python and deep learning to analyze and extract insights from images, including object detection, classification, and feature extraction for real-world datasets. Machine Learning Models for Predictive Analytics Designed, trained, and optimized machine learning models for classification and regression tasks, handling data preprocessing, feature engineering, and performance evaluation. Automation Bots & Workflow Optimization Built Python-based automation bots to streamline repetitive tasks such as data collection, processing, reporting, and system monitoring, improving efficiency and reducing manual effort. Deep Learning Models for Computer Vision Implemented CNN-based deep learning models for image recognition and visual pattern detection, supporting applications in safety, traffic, and industrial monitoring. Web Applications with Streamlit & Flask Created interactive web applications and dashboards using Streamlit and Flask to deploy AI/ML models, visualize results, and enable user-friendly interaction with backend logic. End-to-End AI Solutions Delivered complete AI pipelines including data preparation, model training, validation, deployment, and post-deployment support, tailored to client-specific requirements. Custom Python Solutions Developed clean, scalable, and well-documented Python scripts and applications aligned with client objectives, ensuring reliability and long-term maintainability.

Image, Video and Text Annotation

Jul 2022 - Present • 3 yrs 10 mos

Providing professional data annotation services on Upwork for over 3+ years, successfully delivering 50+ projects across diverse industries Expertise in image, video, and text annotation for machine learning and computer vision applications Hands-on experience with leading annotation tools including CVAT, Roboflow, Darwin V7, MakeSense.ai, SuperAnnotate, LabelImg, and Labelbox Skilled in multiple annotation types such as bounding boxes, polygons, segmentation, keypoints, tracking, and classification Worked on a wide range of datasets including sports analytics, agriculture, natural disaster assessment, safety & surveillance, human activity recognition, wood/forestry analysis, and traffic monitoring Strong ability to follow detailed client guidelines, maintain annotation consistency, and ensure high-quality, production-ready datasets Focused on accuracy, scalability, and timely delivery to support model training and performance optimization