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Rabbiya A. - Fullstack Developer, React Native, nextjs

Working at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.

Main technologies

  • Fullstack Developer

    8 years

  • Large Language Model

    2 Years

  • Retrieval Augmented Generation

    3 Years

  • Chatbot

    7 Years

Additional skills

  • Large Language Model
  • Retrieval Augmented Generation
  • Chatbot
  • OpenAI API
  • Python
  • Machine Learning
  • AI Agent Development
  • LangChain
  • FastAPI
  • React
  • Machine Learning Model
  • Vector Database
  • node.js
  • Computer Vision
  • Generative AI
  • Frontend
  • React Native
  • nextjs

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Experience Highlights

Get Chunky( AI Chatbot)

The client wanted to enhance customer support with an AI chatbot that answered FAQs, integrated into their website, and matched their brand identity. I used GetChunky.io to build a custom chatbot, trained it on the client’s FAQs, and integrated it into their website using JavaScript, Node.js, and React for perfect interaction. I also utilized AWS Lambda for serverless deployment and Docker for containerization. The chatbot reduced response times by 40%, automated common queries, and boosted operational efficiency by freeing up resources for more complex tasks.

AI Art Generator

The client needed unique AI-generated artwork for a marketing campaign, focusing on fantasy and surrealism to engage their audience. I developed AI Art Generator CC, using OpenAI’s DALL-E and TensorFlow to generate custom artwork based on detailed prompts. I optimized the platform for high-quality, tailored results and seamless user interaction. The generated artwork resonated with the target audience, enhancing the campaign’s impact and driving higher engagement.

Talk Face

A client aimed to improve English fluency and exam prep for IELTS, TOEFL, and TOEIC among non-native speakers. I developed Talkface AI, an app utilizing TensorFlow and Natural Language Processing to offer personalized speaking courses, real-time conversation simulations, and instant feedback on grammar and pronunciation. I used React Native for mobile development and AWS for cloud services to ensure scalability. The app helped users practice speaking anytime, boosting fluency and confidence for both real-life situations and exams.

Pet Care App

The client aimed to create an AI-powered solution for early disease detection and preventive healthcare for pets. I developed TTcare, an AI-based app that analyzes pet images using TensorFlow, OpenCV, and Python. I integrated real-time health insights, personalized recommendations, and online vet consultations using React Native and AWS for cloud services, ensuring a smooth user experience. The app has processed over 1.4 million scans with 95% accuracy, helping pet owners monitor their pets’ health proactively, reducing vet visits, and winning CES Innovation Awards.

Stillgram

The client wanted to create an AI-powered travel camera app that removes crowds from photos, allowing users to capture iconic landmarks without distractions. I developed Stillgram, an iOS app that utilizing Core ML and Vision Framework to remove people from images, providing clear, crowd-free travel photos. I used Swift for the app development and AWS for cloud services to ensure smooth performance and scalability. The app received positive feedback for its innovative approach, enabling users to capture and share stunning, crowd-free images of popular destinations.

Education

  • Bahria University

    Bachelor of Engineering (BEng) in Software Engineering

    2008-01-01-2012-01-01

  • Bahria University

    Master's degree in Artificial Intelligence

    2014-01-01-2016-01-01

Languages

  • English

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