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 Muhammad A. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Python, Natural Language Processing, Data Science, Machine Learning, etc.. I hold a degree in Bachelor's degree, Master of Science (MS), Doctor of Philosophy (PhD). Some of the notable projects I've worked on include: Agentic RAG App Powered by Local Qwen 3 LLM, CCTV Safe Alert System, AI-Powered Glasses Recommender App, AI student chatbot system, OCR engine for image reading, etc.. I am based in Islamabad, Pakistan. I've successfully completed 14 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
4 years
2 Years
2 Years
3 Years
Potentially possible
aiTechfusion.ai
Project Description: Developed an advanced Agentic RAG (Retrieval-Augmented Generation) application powered by a locally running Qwen 3 LLM. The system follows an agentic workflow, where the Retriever
Description: Developed a CCTV-based security application that detects unauthorized access to safes and sends real-time image alerts to designated Telegram accounts, ensuring prompt response to securit
A cutting-edge glass recommender application built with react and using ResNet50 and fine-tuning techniques to provide personalized suggestions.
Student upload there notes and the system generates practice mcqs based on the notes.
Document Upload and Recognition: The system supports PDF and JPEG file uploads. It will read and extract data from uploaded documents using OCR capabilities. The OCR engine identifies specific data fi
Bachelor's degree in Computer engineering
2010-01-01-2014-01-01
Master of Science (MS) in Machine Leanring and Data Science
2015-01-01-2018-01-01
Doctor of Philosophy (PhD) in Computer engineering
2025-01-01-2026-01-01