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Muhammad M.

AI & Machine Learning Engineer · Entry-level

Rate on request

Professional Overview

Hi Hiring Team,I’m applying for remote-based opportunities where I can transition my strong engineering and industry background into emerging technologies and AI-driven roles.Since 2020, I’ve worked independently as a freelance professional on local and remote assignments across engineering support, supplier coordination, procurement, and operational problem-solving. While this work was outside core AI development, it strengthened the skills remote teams and startups value most: ownership, execution under ambiguity, clear communication, and delivering results without handholding. This experience has made me highly comfortable in fast-moving, remote-first environments as well as structured, mature tech organizations.Before freelancing, I worked with large-scale organizations including Toyota Indus Motor Company, where I handled SAP-driven workflows, global coordination, and cost-optimization initiatives. This role developed my systems thinking, data-driven decision-making, and ability to translate real-world problems into structured, scalable solutions.Over the past few years, I’ve intentionally shifted my focus toward Artificial Intelligence and emerging technologies through pursuing formal education, certifications, and hands-on learning. I’m motivated by building practical, scalable solutions and bring an entrepreneurial mindset focused on learning fast, creating impact, and growing alongside the product and team. I also maintain a strong interest in future-facing technologies as part of long-term innovation.I thrive in environments that value speed, adaptability, and accountability, and I’m comfortable collaborating across time zones while wearing multiple hats when needed.I’d love to contribute my engineering background, problem-solving mindset, and AI-focused growth trajectory to your team.Best regards,Muhammad Musawwir

Areas of Expertise

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

Open to

Part Time Internship Freelance Temporary

Experience Level

Entry-level

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