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Aneeba A. AI, Machine Learning and Data Analytics

My name is Aneeba A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Computer Vision, TensorFlow, Deep Learning, PyTorch, etc.. I hold a degree in Bachelor of Science (BS), Master's degree. Some of the notable projects I’ve worked on include: AI Cybersecurity Automation Agent - n8n Workflow System, Urban Vehicular Emissions Detection using YOLOv5x and YOLOv8m, Intelligent Q&A Platform with Gemini API for Summarized Responses, Email Classifier Using n8n and AI Models for Automated Categorization, Mobile Inventory Management System with AI and Airtable Integration, etc.. I am based in Islamabad, Pakistan. I've successfully completed 11 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Machine Learning and Data Analytics

    2 years

  • Machine Learning

    1 Year

  • Computer Vision

    1 Year

  • TensorFlow

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Systems Limited

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Experience Highlights

AI Cybersecurity Automation Agent - n8n Workflow System

Built an intelligent cybersecurity automation system using n8n that processes real-time threat intelligence feeds and automates incident response. The system analyzes malicious IP addresses, calculates risk scores using multi-factor algorithms, and automatically executes blocking, alerting, or monitoring actions based on threat severity. Features include email/Slack notifications, comprehensive security reporting, and production-ready error handling. Successfully processes 25+ threats per execution with 95%+ accuracy, reducing manual SOC workload.

Urban Vehicular Emissions Detection using YOLOv5x and YOLOv8m

Goal: Detect smoke-emitting vehicles in cities to support environmental regulations. Solution: - Used YOLOv5x (SGD) & YOLOv8m (Adam) on 4K+ augmented images. - Preprocessing: resize & normalize. Impact: Enables scalable emissions monitoring, aiding policymakers & reducing urban air pollution.

Intelligent Q&A Platform with Gemini API for Summarized Responses

Goal: Create an intelligent Q&A tool to deliver concise, accurate answers and aid in exam preparation. Solution: Used Gemini API to summarize backend data, query databases, and provide context-aware responses with helpful resource links. Impact: Reduced research time, improved accuracy, and enhanced learning efficiency.

Email Classifier Using n8n and AI Models for Automated Categorization

Developed an email classification system using n8n, integrating Gemini's chat model and Message-A model. The system automatically categorizes incoming emails and saves them as draft emails for further action, streamlining email management and reducing manual work.

Mobile Inventory Management System with AI and Airtable Integration

Built a mobile inventory management system using n8n, integrating the Gemini model for intelligent decision-making. The system stores memory in n8n and links to Airtable for real-time inventory tracking, enhancing efficiency and data accuracy.

Education

  • National University of Science and Technology

    Bachelor of Science (BS) in Mathematics & Data Science

  • National University of Science and Technology

    Master's degree in Computational Sciences and Engineering (AI)

Languages

  • English

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