I am Muhammad Nabeel, an AI Engineer with over 3 years of experience architecting scalable AI-driven applications and automation tools. I am proficient in the MERN stack, TypeScript, and Python (Pandas, NumPy, Keras, PyTorch, TensorFlow), with backend (Node.js, FastAPI, Flask), frontend (React.js, Tailwind CSS), and cloud deployments (AWS EC2, S3). I have led innovative projects leveraging instance segmentation, deep learning, large language models, and retrieval-augmented generation to optimize parcel locker placement, automate dataset labeling, and enhance chatbot functionality. I designed AI-driven data labeling pipelines, built end-to-end ML workflows from data prep to production deployment, and developed dashboards and predictive analytics to improve operational efficiency.

Muhammad Nabeel

I am Muhammad Nabeel, an AI Engineer with over 3 years of experience architecting scalable AI-driven applications and automation tools. I am proficient in the MERN stack, TypeScript, and Python (Pandas, NumPy, Keras, PyTorch, TensorFlow), with backend (Node.js, FastAPI, Flask), frontend (React.js, Tailwind CSS), and cloud deployments (AWS EC2, S3). I have led innovative projects leveraging instance segmentation, deep learning, large language models, and retrieval-augmented generation to optimize parcel locker placement, automate dataset labeling, and enhance chatbot functionality. I designed AI-driven data labeling pipelines, built end-to-end ML workflows from data prep to production deployment, and developed dashboards and predictive analytics to improve operational efficiency.

Available to hire

I am Muhammad Nabeel, an AI Engineer with over 3 years of experience architecting scalable AI-driven applications and automation tools. I am proficient in the MERN stack, TypeScript, and Python (Pandas, NumPy, Keras, PyTorch, TensorFlow), with backend (Node.js, FastAPI, Flask), frontend (React.js, Tailwind CSS), and cloud deployments (AWS EC2, S3).

I have led innovative projects leveraging instance segmentation, deep learning, large language models, and retrieval-augmented generation to optimize parcel locker placement, automate dataset labeling, and enhance chatbot functionality. I designed AI-driven data labeling pipelines, built end-to-end ML workflows from data prep to production deployment, and developed dashboards and predictive analytics to improve operational efficiency.

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Language

English
Fluent
Urdu
Advanced

Work Experience

AI Engineer at SwipBox
May 1, 2023 - Present
Developed AI-driven predictive analytics and automation solutions leveraging instance segmentation, classification, deep learning, and LLMs to optimize parcel locker utilization, compartment booking, and network performance.
Intern AI Engineer at NSTP (Tech Medology)
April 1, 2022 - June 1, 2022
Explored fundamentals of AI and ML; trained a classification model for diseased detection and learned end-to-end ML workflows as part of hands-on internship.

Education

Bachelor's in Software Engineering at National University of Modern Languages
January 1, 2019 - January 1, 2023

Qualifications

Best Final Year Project (FYP) Award
January 11, 2030 - February 17, 2026
Senior Programming Competition Award
January 11, 2030 - February 17, 2026
Junior Programming Competition Award
January 11, 2030 - February 17, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment