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Rabbiya A. - Fullstack Developer, React Native, nextjs

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

Main technologies

  • Fullstack Developer

    8 years

  • Large Language Model

    6 Years

  • Retrieval Augmented Generation

    5 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
  • Cloud
  • 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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