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Schedule Interview NowMy name is Muhammad M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Chatbot Development, Chatbot Integration, LLM Prompt Engineering, Natural Language Processing, LangChain, etc.. I hold a degree in Master of Science (MS), Bachelor of Science (BS). Some of the notable projects I've worked on include: Mudeer AI: Writing Assistant & Linguistic Hub, Linguistic AI & Digital Library Platform, AI Scholar: Islamic AI Chatbot with GPT-5 & Vector Search, Real Estate AI: Generative Design & Predictive Analytics Platform, LegalMind AI: A RAG-Powered Legal Assistant, etc.. I am based in Attock City, Pakistan. I've successfully completed 7 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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EnDevSols
Engineered Mudeer.in, a pioneering AI writing platform optimized for RTL languages (Urdu, Arabic, Persian). Leveraged OpenAI GPT-5 for advanced reasoning and high-fidelity content generation, includin
Engineered a high-scale literature portal featuring DeepSeek LLM for contextual verse analysis and linguistic insights. Built with React and Python, the platform supports RTL (Right-to-Left) layouts a
An AI-driven scholarly platform designed to navigate vast Islamic scriptures. I built this using React.js, MongoDB, and GPT-5, leveraging LongTrainer for custom knowledge base integration (RAG). Key T
Full-stack AI platform built with React and FastAPI. Features an AI Architect for automated 2D/3D floor plans and custom Transformer models for price forecasting with 98% accuracy. Includes a RAG-powe
LegalMind AI's core is a sophisticated RAG pipeline, using OpenAI's LLMs . The system's backbone is a high-performance vector database, indexed with the Faiss library, enabling efficient retrieval of
Master of Science (MS) in Artificial intelligence
Bachelor of Science (BS) in Software engineering
2019-01-01-2023-01-01