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Ali R. - Data Engineering, React Native, nextjs

My name is Ali R. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, Chatbot Development, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: Dealty: AI-Powered Real Estate Platform, Intellirent: Property Leasing Platform, Real-Time Fleet Tracking API – FastAPI • WebSockets • PostgreSQL, Real-Time Order Dashboard – React, Node, Socket.IO, Python, Goget: Full-Stack AI-Powered Automation & Backend Development, etc.. I am based in Lahore, Pakistan. I've successfully completed 6 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • Data Engineering

    3 years

  • Artificial Intelligence

    2 Years

  • Machine Learning

    2 Years

  • Generative AI

    1 Year

Additional skills

Direct hire

Potentially possible

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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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