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 Koonj R. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Data Science, Algorithms, Algorithm Development, Machine Learning, Python, etc.. I hold a degree in Master of Information Technology (MIT), Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Lawyer Classification and Search System with NLP & Backend Integration, Kidney Disease Prediction and Modeling. I am based in Shikarpur, Pakistan. I've successfully completed 2 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
1 year
1 Year
1 Year
1 Year
Potentially possible
Techlogix
Developed a Lawyer Classification and Search System to help users find legal professionals based on law specialties and location. Integrated a responsive UI with dropdown options and an NLP-powered search bar to understand natural language queries. The system dynamically displays lawyers by name and win rate, allowing users to make informed choices efficiently.
This project focuses on kidney disease modeling using Python, specifically implementing logistic regression, KNN, and Naive Bayes estimation techniques. It involves building and evaluating predictive models, with an emphasis on data preprocessing, feature engineering, and model training. The project also includes thorough evaluation of the models' performance and interpretation of results to derive actionable insights.
Master of Information Technology (MIT) in computer science
2018-01-01-2021-01-01
Bachelor of Computer Science (BCompSc) in
2017-01-01-2021-01-01