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Faizan 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

  • Natural Language Processing

    2 Years

  • Model Optimization

    7 Years

  • Deep Learning

    5 Years

Additional skills

  • Natural Language Processing
  • Model Optimization
  • Deep Learning
  • Computer Vision
  • Python
  • Anomaly Detection
  • Machine Learning
  • Flask
  • Google APIs
  • Docker
  • React
  • Google Cloud Platform
  • RESTful API
  • Data Visualization
  • Games
  • React Native
  • nextjs

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Experience Highlights

SmartComply

Smart Comply is the compliance scheme founded in offering you unrivalled support, advice and value.

GoldenEye Data Processing

It is a files data processing application to process files and assign each file a category and sub categories using Data Processing and Machine Learning. We split data in these categories 1. Document Files 2. Document Images 3. Social Media 4. Person Images (Selfies, Group Photos) 5. Split Emojis and other

Linkedin profile Selection based on Job Description using NLP

Our goal for this project was to scrape people profile of specific skills from linkedin and train a Machine Learning model. So when we have a job description, we feed into model and get top profiles for that job description. We scrapped a number of profiles from linkedin. Then train a Deep Learning model using Tensorflow with our labeled data. After that we created an API so when we pass job description to model, it gives us profiles of top people with skills related to that job description.

Education

  • University of Agriculture, Faisalabad

    Bachelor of Computer Science (BCompSc) in Computer science

    2015-01-01-2019-01-01

Languages

  • English
  • Urdu

Personal Accounts