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Maryam K. AI, Machine Learning and Chatbot Platforms

My name is Maryam K. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Natural Language Processing, Machine Learning, Chatbot, Data Mining, etc.. I hold a degree in Master of Computer Science (MSCS), Bachelor of Science (BS), Doctor of Engineering (DEng). Some of the notable projects I've worked on include: AI-Powered Medical Chronologies Platform, Suspicious Activities Detection system, CLASSIFICATION OF LUNG AND COLON CANCER USING DEEP LEARNING METHOD, BRAIN STROKE PREDICTION SYSTEM USING DEEP LEARNING. I am based in Rawalakot, Pakistan. I've successfully completed 4 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 Chatbot Platforms

    2 years

  • Computer Vision

    1 Year

  • Natural Language Processing

    1 Year

  • Machine Learning

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

TypeUX

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Experience Highlights

AI-Powered Medical Chronologies Platform

he AI-Powered Medical Chronologies Platform, a cutting-edge solution designed to revolutionize how legal and healthcare professionals analyze complex medical records. What makes this platform special

Suspicious Activities Detection system

1. Introduction Our proposed system “Suspicious Activities Detection System (SADS)” is an important tool for enhancing security in shops and shopping malls and education institutes. Such a system can

CLASSIFICATION OF LUNG AND COLON CANCER USING DEEP LEARNING METHOD

Research Objectives First, the objective is to present an up-to-date review of the literature and the state-of-the-art in the early detection and computer aided diagnosis of Lungs and Colon Cancer. Th

BRAIN STROKE PREDICTION SYSTEM USING DEEP LEARNING

Brain stroke Prediction system And Automatic Report Generation: The Brain Stroke Detection and Analysis system is an innovative mobile application that leverages AI and deep learning techniques to ai

Education

  • COMSATS University Islamabad

    Master of Computer Science (MSCS) in

    2014-01-01-2016-01-01

  • university of poonch

    Bachelor of Science (BS) in Computer science

    2008-01-01-2012-01-01

  • University of poonch Rawalakot azad kashmir

    Doctor of Engineering (DEng) in Computer science

    2024-01-01-2026-01-01

Languages

  • English (Native or Bilingual)
  • Urdu (Native or Bilingual)