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Waleed A. AI, Machine Learning and Data Science

My name is Waleed A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Natural Language Processing, Large Language Model, TensorFlow, PyTorch, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: AI-Powered Linux Agent, Fine-Tuning MobileNetV2, AI Invoice Agent – LLM-Powered Invoice Extraction Tool. I am based in Faisalabad, Pakistan. I've successfully completed 3 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • AI, Machine Learning and Data Science

    2 years

  • Machine Learning

    1 Year

  • Natural Language Processing

    1 Year

  • Large Language Model

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Careem

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Experience Highlights

AI-Powered Linux Agent

Developed an intelligent, voice-enabled Linux agent that connects to remote Linux servers and executes commands based on natural language input. Users can interact with the system via text or speech, describing tasks in plain English (e.g., "check disk usage", "create a new user", "restart nginx"), which are then interpreted, validated, and securely executed on the target server. The system supports: Real-time connection to Linux servers over SSH Parsing and mapping natural language to shell commands Voice-to-text input using speech recognition Execution monitoring and result feedback

Fine-Tuning MobileNetV2

Developed and fine-tuned a MobileNetV2 convolutional neural network (CNN) to classify rice grains into five distinct categories. The model was trained on a labeled dataset and deployed using a GPU server to accelerate the training process. Achieved high classification accuracy with optimized model size suitable for edge or mobile deployment.

AI Invoice Agent – LLM-Powered Invoice Extraction Tool

AI Invoice Agent is a modern web-based solution built with Next.js and powered by LLM for automating invoice data extraction. It allows users to drag and drop PDF, JPG, or PNG invoices, which are parsed in real-time to extract structured fields like invoice number, date, vendor, customer, items, and total amount. The extracted data from multiple invoices is compiled into a single downloadable Excel file for accounting and record-keeping. 📈 Outcome ✅ Reduced Manual Work: Saves hours of manual data entry ✅ High Accuracy: AI provides accurate field extraction from scanned or digital invoices

Education

  • National University of Computer and Emerging Sciences

    Bachelor of Computer Science (BCompSc) in Computer engineering

    2020-01-01-2024-01-01

Languages

  • English

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