We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Osman Y. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Chatbot, Machine Learning, Deep Learning, Computer Vision, etc.. I hold a degree in Bachelor's. Some of the notable projects I've worked on include: AI-Powered Video Analysis to Monitor Mice Behavior, Advanced UK Number Plate Detection System, Pore Space Segmentation in Rocks, LLM Powered Dynamic Document Chatbot, EAA (Music Promotion Platform), etc.. I am based in Hackensack, United States. I've successfully completed 19 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
1 year
1 Year
1 Year
1 Year
Potentially possible
Rapid Labs
A video analysis solution to track mice behavior and pellet statistics during drug testing, utilizing YOLO, ByteTrack, and custom algorithms. It accurately detected, classified, and tracked multi-colo
An intelligent system designed to detect and analyze UK vehicle number plates with precision. The solution identifies plate colors, font color, text fonts, and character spacing, ensuring compliance w
This project leverages deep learning and 3D imaging to analyze pore spaces in rock samples for the petroleum industry. It quantifies porosity and permeability—key factors in evaluating oil and gas res
A dynamic document chatbot integrated with SharePoint to help employees efficiently retrieve and navigate complex SOPs using natural language queries. The chatbot leverages retrieval-augmented generat
A scalable platform to simplify campaign management and Spotify playlist marketing for the digital music industry. Using technologies like ReactJS, Django, and Stripe, the solution enabled seamless pl
Bachelor's in Computer Science