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Schedule Interview NowMy name is Muhammad Ali M. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Machine Learning Model, Data Science, Machine Learning Algorithm, Computer Vision, Artificial Intelligence, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: DyslexiAid: Nurturing potential with AI assistance, Advancing AI in Healthcare: Fine-Tuning LLMs for Medical Insights, News Sentiment Analyzer using ML & LLMs, SkinSaver, London-Bike-Usage-Prediction, etc.. I am based in Rawalpindi, Pakistan. I've successfully completed 7 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
4 years
2 Years
2 Years
1 Year
Potentially possible
Techlogix
DyslexiAid is a cross-platform AI-powered solution designed to diagnose and support children with dyslexia (primarily under Class 4). The system includes a MERN-based web app that conducts scientifica
Fine-tuned 𝐋𝐋𝐌𝐬 𝐟𝐨𝐫 𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 using 𝐃𝐞𝐞𝐩𝐒𝐞𝐞𝐤𝐑𝟏-𝐐𝐰𝐞𝐧, 𝐃𝐞𝐞𝐩𝐒𝐞𝐞𝐤𝐑𝟏-𝐋𝐥𝐚𝐦𝐚, 𝐌𝐢𝐬𝐭𝐫𝐚𝐥-𝟖𝐁, 𝐚𝐧𝐝 𝐋𝐥𝐚𝐦𝐚𝟑.𝟏-𝟖𝐁, optimizing accuracy
The Sentiment News Analyzer is an advanced tool designed to assess the sentiment of news articles on user-defined keywords. It leverages fine-tuned large language models (LLMs) like RoBERTa to analyze
The goal of the SkinSaver project was to develop an AI-powered chatbot capable of detecting and providing recommendations for skin problems. Leveraging a YOLOv5 model for skin condition detection via
The project combines data from the city's bike-sharing system with weather reports to analyze how factors like temperature, precipitation, and wind affect cycling activity. Highlights Data Processing
Bachelor of Computer Science (BCompSc) in Data Science | Machine Learning
2021-01-01-2025-01-01