r
rafayabbasi989

Ibaad A

@rafayabbasi989
5,0(1)

Expert Full Stack Developer, Responsive Websites, ML And Deep Learning

Paquistão
Alemão, Italiano, Hindi, Francês, Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
Welcome! I’m a highly skilled Full-Stack Developer with a passion for building sleek, modern, and high-performing web applications. With extensive experience in front-end and back-end development, I create responsive, scalable, and user-friendly websites tailored to business needs. But my expertise goes beyond just web development—I also specialize in Machine Learning, Deep Learning, and AI. I work on projects involving Computer Vision, Natural Language Processing (NLP), AI-driven automation, and predictive modeling, helping businesses leverage AI for smarter solutions.... Saiba mais

Habilidades

r
rafayabbasi989
Ibaad A
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Machine learning
I will build machine learning, deep learning, ai solutions in python
5,0(1)
Programação e Tecnologia
I will computer science assigned, report writing, java python programming tasks project

Portfólio

Experiência profissional

Develomark

Senior Ai Engineer

Develomark • Período integral

Jan 2023 - Present3 yrs 4 mos

As a Senior AI Engineer at Develomark, I lead the end-to-end development and deployment of advanced AI and Machine Learning solutions that drive real business impact. Since joining in 2023, I have taken ownership of complex AI projects spanning Data Science & Analytics, NLP, Computer Vision, and Web App Integration with AI. Key responsibilities and achievements include: Architecting and deploying production-ready ML models for predictive analytics, classification, and automation Leading NLP projects including text classification, sentiment analysis, and intelligent chatbot development Building and optimizing Computer Vision pipelines for image recognition and object detection Integrating AI-powered features into modern web applications using React and JavaScript frameworks Designing scalable data pipelines for data collection, preprocessing, and feature engineering Mentoring junior engineers and conducting code reviews to maintain high development standards Collaborating with stakeholders to translate business requirements into intelligent, data driven solutions

Codemasters

Associate Ai Engineer

Codemasters • Meio período

Dec 2017 - Aug 20224 yrs 8 mos

As an Associate AI Engineer at Code Master, I was responsible for designing, developing, and deploying AI and Machine Learning solutions for real-world business challenges. My role involved building and fine-tuning ML models, working with large datasets, and integrating AI-powered features into web applications. Key contributions included: Developing and optimizing machine learning models for predictive analytics and automation Collaborating with cross-functional teams to integrate AI solutions into production environments Building data pipelines for data cleaning, preprocessing, and feature engineering Implementing NLP and computer vision solutions tailored to client needs Supporting the development of intelligent web applications using modern frameworks such as React and JavaScript Conducting research on emerging AI trends and applying best practices to ongoing projects This role strengthened my expertise in Python, TensorFlow, Scikit-learn, and React, while sharpening my ability to deliver scalable, high-quality solutions under real-world conditions.

1 Avaliações
5,0

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Classificação detalhada
  • Nível de comunicação do freelancer
    5
  • Qualidade da entrega
    5
  • Valor da entrega
    5
1-1 fora das 1 avaliações
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    dhonalex

    US

    Estados Unidos

    5

    He did an excellent job! At first, I was a bit hesitant to place my order, but he assured me he would deliver, and he truly exceeded my expectations. I am extremely satisfied with his work. He provided exactly what I was looking for. I highly recommend him and would definitely work with him again in the future!

    Até US$ 50

    $

    2 dias

    Tempo

    gig

    Machine learning

    Útil?
    Sim
    Não