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Ali R. - 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

    3 years

  • Artificial Intelligence

    1 Year

  • Machine Learning

    1 Year

  • Generative AI

    1 Year

Additional skills

  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Natural Language Processing
  • Chatbot Development
  • Python
  • FastAPI
  • node.js
  • React
  • REST API
  • Elasticsearch
  • PostgreSQL
  • MongoDB
  • Automation
  • DevOps
  • Data Engineering
  • Data Science
  • Data Analysis
  • React Native
  • nextjs

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Experience Highlights

Dealty: AI-Powered Real Estate Platform | Python | AI | Node.js

Dealty.ai is a full-service real estate platform that helps users buy, sell or rent homes with speed and transparency. Its features include: - AI-assisted listing generation & automatic MLS syndication - Fast property valuation tools to help price right - Add professional photography options & manage showings/open houses - Direct inquiries from buyers with no middle-man or extra commissions - Seamless listing creation, contracts & closing via online tools

Intellirent: Property Leasing Platform | Python | Node.js | React

Intellirent is a property-leasing platform designed to simplify and speed up the rental process for landlords and property managers. Key features include: - Streamlines property leasing for landlords & managers - Publish listings across major rental sites quickly - Online tenant screening (credit, background, employment) - Branded rental applications & renter resumes - Collaboration tools & centralized communication - Supports e-signed leases and faster decisions - Reduces vacancy time, making leasing efficient

Real-Time Fleet Tracking API – FastAPI • WebSockets • PostgreSQL

Problem — A logistics firm needed to track 120+ delivery vans live and cut dispatch delays. Solution — Designed a FastAPI WebSocket gateway that broadcasts location updates every second. Redis Pub/Sub handles fan-out, while PostGIS-enabled PostgreSQL stores routes for replay and analytics. Deployed on AWS Fargate with auto-scaling. Impact — Achieved ≤1 s latency to the React dashboard (see chart). Dispatch efficiency improved 25 % and support tickets dropped by half. Tech — FastAPI, WebSockets, Redis, PostgreSQL + PostGIS, AWS (Fargate, ALB), Docker, CI/CD (GitHub Actions).

Real-Time Order Dashboard – React, Node, Socket.IO, Python

Problem – A multi-vendor e-commerce platform needed live order updates so warehouse staff could fulfil in under 5 minutes. Solution – Designed and built a React dashboard with virtualised tables, powered by a Node + Socket.IO gateway and Redis pub/sub. Implemented REST fall-back for SEO pages and deployed on AWS ECS behind Nginx. Impact – Cut order-processing latency to ≤2 s and reduced missed-SLA penalties by 35 % in the first month. Tech – React 18, TypeScript, Tailwind, Node 16, Socket.IO, Redis, PostgreSQL, AWS (ECS + ALB).

Goget: Full-Stack AI-Powered Automation & Backend Development

The goal was to develop and enhance GoGet.my, a versatile platform designed to connect businesses and individuals with on-demand freelance workers, known as "GoGetters." The platform aimed to facilitate a wide range of services from simple errands to professional tasks. The project successfully resulted in a robust and scalable platform that catered to a growing demand for gig economy services in Malaysia. The platform enhanced operational efficiency for businesses and provided flexible earning opportunities for individuals.

Education

  • University of the Punjab

    Bachelor's degree in

    2013-01-01-2017-01-01

Languages

  • English

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