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Schedule Interview NowMy name is Nadhir H. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Deep Learning, Neural Network, Artificial Intelligence, PyTorch, etc.. I hold a degree in Bachelor's. Some of the notable projects I've worked on include: Fastner Recognition Project, Real-Time Face Recognition Attendance System, Fully AI Driven IVR System for Customer Care Center, FootBall Event Detection and Ball Tracking, Aim Bot For Pubg, etc.. I am based in Kandy, Sri Lanka. I've successfully completed 13 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
4 years
3 Years
1 Year
3 Years
Potentially possible
Imara Software Solution
The primary objective of this project is to accurately identify various types of fasteners (such as screws, bolts, washers, helicoils, nuts, etc.) and determine their correct sizes(diams,length,inner_
Key features of the project include: - Real-Time Face Detection and Recognition: The system captures live video and uses facial recognition algorithms to identify registered individuals, making the at
I create an end-to-end AI powered IVR system. it can handle any type conversation. including, 1. It logs call duration, call logs, and other vital information into the database. 2. Upon placing an o
I successfully developed a football event detection system to identify key events such as pass success, pass failure, clearance, and crosses in football matches. The project involved leveraging YOLO f
This project is an aimbot for PUBG: BATTLEGROUNDS, using computer vision and object tracking to identify and target enemies. Key components include: - Window Capture: Captures game frames. - Object D
Bachelor's in Computer Science