Syed (Sabbi Ui) Hassan-AI Intern
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Experience
AI Intern
Swati Tech
- Worked on audio and image classification models using TensorFlow, Scikit-learn, and Keras
- Performed model training, hyperparameter tuning, and evaluation in Jupyter Notebook and Google Colab
- Applied data preprocessing, augmentation, and feature extraction techniques for improved accuracy
- Contributed to research-oriented AI tasks, including real-time model deployment
- Collaborated with mentors on AI automation workflows and edge AI experiments involving audio event detection and computer vision
Front End Developer Intern
Swati Tech
- Developed responsive web interfaces using React.js, HTML, CSS, and JavaScript
- Integrated REST APIs for dynamic data display and maintained clean, reusable components
- Used Git for version control and participated in code reviews to ensure consistency and maintainability
General Secretary
UEMS (Ushers and Event Management Society)
- Organized and led large-scale cultural and entertainment events with over 2,000 attendees at the university
- Managed end-to-end event operations, including ticketing, artist coordination, stage lighting, sound systems, decorations, and hosting
- Supervised a team of volunteers to ensure smooth execution and exceptional audience experience
- Successfully delivered two major annual events (Mega EVE and Mega EVE 2.0)
- Key skills: Leadership, Event Management, Team Coordination, Operations Planning, Communication, Time Management, Public Engagement
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Media and Entertainment.
Business Area Experience
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Experienced in Operations and Project Management.
Summary
Experienced in model deployment pipelines, API integration, and workflow automation using n8n and LLMs for scalable AI systems. Results-driven Computer Science graduate with hands-on experience in machine learning, deep learning, and AI automation. Skilled in developing and deploying end-to-end intelligent systems from audio classification (TensorFlow, YAMNet, Arduino) to computer vision (PyTorch, SkySegNet, OpenCV) and automation workflows (n8n, OpenAI, RAG, MCP, Agents). Proven ability to build real-time, production-ready ML apps using Python, Scikit-learn, TensorFlow Lite, and Gradio, with deployments on Render and microcontroller hardware. Passionate about building efficient, real-world AI systems that combine accuracy, automation, and scalability.
Skills
Programming & Scripting: Python, C++, Algorithm Development, Software Debugging
Machine Learning & Deep Learning: Tensorflow, Tensorflow Lite, Keras, Scikit-Learn, Numpy, Pandas, Matplotlib, Pretrained Models (Yamnet, Skysegnet, Skyar)
Computer Vision & Audio Processing: Opencv, Speech Recognition, Audio Classification, Image Segmentation, Real-Time Inference
Ai Automation & Llms: N8n Workflows, Rag (Retrieval-Augmented Generation), Mcp, Apis, Llm Integration, Ai Agents
Web & Deployment Tools: Gradio, Arduino Ide, Google Colab, Jupyter Notebook, Git, Github, Rendor
Data Analytics: Exploratory Data Analysis (Eda), Data Cleaning, Feature Engineering, Model Optimization
Languages
Education
Pak Austria Fachhochschule Institute of Applied Science and Technology
Computer Science · Harīpur, Pakistan
Statistics
Experience
Global Experience
Expertise
Profile
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