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Schedule Interview NowMy name is Samina S. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: AI Agent Development, AI Chatbot, Computer Vision, Automation, Machine Learning, etc.. I hold a degree in Bachelor of Computer Applications. Some of the notable projects I’ve worked on include: Automatic License Plate Recognition using YOLOv8, Cold and Flu Symptom Self Assessment Chatbot, Booking app for flights, hotels and buses, Build AI Research Assistant for Weekly Trend Summaries, AAA Hockey, etc.. I am based in Astoria, United States. I've successfully completed 7 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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Developed an Automatic License Plate Recognition (ALPR) system using YOLOv8 for vehicle detection and license plate recognition. Leveraged a pre-trained YOLOv8n model to identify vehicles and a custom license plate detector to extract plate details. The model was trained using a specific dataset, providing a scalable solution for real-time license plate recognition. My work involved setting up the environment, training the model, handling missing data interpolation, and creating visualizations for accurate plate detection results.
I built a Cold & Flu Symptom Self-Assessment Chatbot for my Health Care Analytics elective using AnythingLLM and Ollama. It uses RAG to pull info from trusted health documents (Nova Scotia Health, Health Canada, PHAC) to help users figure out cold vs. flu symptoms, when to seek care, and home-care tips. It's designed to give quick, reliable health advice without diagnosing. It’s a cool way to explore open-source LLMs in public health and help users easily access trustworthy info.
As a backend developer for Bookme.pk, I played a crucial role in building a robust platform for online booking services. Leveraging my expertise in backend technologies such as Node.js and Express.js, I designed scalable APIs that handle user authentication, booking transactions, and data management efficiently. I utilized MongoDB for flexible data storage and integrated payment gateways to ensure seamless transactions. By implementing RESTful architecture and deploying on AWS for reliability.
I built an AI research assistant using n8n and Weaviate that tracks trends and sends weekly summaries. Each week, it fetches AI/ML abstracts from arXiv, enriches them with topics and impact scores, and stores everything in Weaviate. The AI agent then spots trends, generates a summary email with key papers, and highlights important trends. It’s simple to set up: just use Weaviate, add your API keys, and configure the email to get your weekly insights.
I played a key role as a full-stack developer for AAA Hockey, focusing on enhancing user experience through responsive design and intuitive navigation. Utilizing HTML5, React, CSS3, and JavaScript, I ensured the website is both visually appealing and functional across various devices. By implementing interactive features and optimizing performance, I contributed to creating a dynamic platform that meets the needs of hockey enthusiasts and players alike.
Bachelor of Computer Applications in
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