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 Bakmeedeniye gedara praveena s. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: MATLAB, Machine Learning, Large Language Model, Artificial Intelligence, Internet of Things, etc.. I hold a degree in Bachelor of Engineering (B.Eng.). Some of the notable projects I've worked on include: ML solution to detect similar product titles & tag them, Autonomous Parking Car System using Arduino, coconut classification by ripeness, palm fruit classification by ripeness, iot smart parking gps and lora based vehicle parking system, etc.. I am based in Mawanella, Sri Lanka. I've successfully completed 21 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
6 years
5 Years
4 Years
4 Years
Potentially possible
Irobotics India pvt ltd
We’ve developed an AI-powered solution that automatically identifies similar product titles and tags them into relevant categories, helping e-commerce platforms, inventory systems, and catalog manager
We are developing an Autonomous Parking Car System using the Arduino platform. The objective is to create a smart, self-driving miniature car that can identify parking spaces, navigate through obstacl
Using advanced machine learning and image processing techniques, this system accurately identifies coconuts by ripeness levels—green (unripe), mature, and overripe. Perfect for farmers and agro-indust
AI techniques can identify palm fruits and determine their ripeness levels accurately. Using machine learning and computer vision, the system classifies fruits into various stages—unripe, ripe, and ov
The GPS and LoRa-based Vehicle Parking System is designed to track vehicles inside a parking lot and monitor parking space occupancy. The system consists of LoRa-based GPS trackers mounted on vehicles
Bachelor of Engineering (B.Eng.) in Programming,Hardware ,electronics engineering
2015-01-01-2018-01-01