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Saad S. - , Backend, nextjs

My name is Saad S. and I have over 5 years years of experience in the tech industry. I specialize in the following technologies: node.js, MongoDB, GraphQL, ExpressJS, React, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: MAXIOM.IO - AI-Powered Fitness Optimization Platform, BillEasy - Automated Usage-Based Billing for Service Businesses, Accessible Agents - AI Real Estate Automation, Franck Muller AI Document Recognition & Watch Verification, NetFly FB Ads - Law Firm Marketing Platform, etc.. I am based in Islamabad, Pakistan. I've successfully completed 8 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • 5 years

  • node.js

    2 Years

  • MongoDB

    3 Years

  • GraphQL

    3 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

MAXIOM.IO - AI-Powered Fitness Optimization Platform

Developed a comprehensive AI-driven fitness platform delivering personalized training, nutrition, and recovery guidance through biometric integration. Features include brand-aligned UI redesign, Stripe subscription system, wearable device integration via Try Terra API, and AI personalization engine. Built on AWS infrastructure with secure authentication, the platform processes HRV, sleep, and activity data to generate actionable insights through a 38-point Max Score system for data-driven fitness optimization.

BillEasy - Automated Usage-Based Billing for Service Businesses

Developed a comprehensive usage-based billing platform for service businesses with real-time Stripe Connect integration. Built advanced analytics tracking peak usage, client distribution, and resource performance with customizable billing metrics (count, duration, API calls). Implemented no-code integrations with Make, Zapier, and VAPI, white-label support with custom branding, and automated invoice generation. Used Next.js, Stripe Connect API, PostgreSQL, and real-time WebSocket updates.

Accessible Agents - AI Real Estate Automation

-Built an all-in-one AI platform for real estate agents featuring 24/7 voice AI assistant, automated lead management, and smart scheduling. -Developed conversational AI with natural language processing for instant lead engagement, integrated 200+ CRM and social platforms, and created automated email/SMS campaigns. -Implemented smart appointment booking, analytics dashboard, and lead qualification system. Used Next.js, OpenAI GPT-4, Twilio Voice API, and Zapier integrations.

Franck Muller AI Document Recognition & Watch Verification

Built an AI-powered document recognition system for luxury watch authentication using Google Vision OCR and custom ML models. Developed dual interfaces: admin dashboard for bulk processing and user portal for real-time verification. Implemented targeted OCR to extract watch codes from PDFs and case back images, smart matching algorithms with confidence scoring, and batch upload processing via Excel templates. Used Next.js, TensorFlow.js, Google Cloud Vision API, and PostgreSQL. Achieved 96% accuracy in watch code detection, reduced manual verification time by 90%

NetFly FB Ads - Law Firm Marketing Platform

Developed a specialized Facebook advertising platform for law firms featuring precision targeting, team collaboration, and automated billing. Built advanced audience filtering with demographic, behavioral, and geographic segmentation. Integrated Meta API for direct ad push, real-time campaign sync, and historical audience management. Used Next.js with AWS Amplify, Lambda functions, and DynamoDB for scalable serverless architecture. Implemented org-level data isolation, one-click audience cloning, and usage-based billing engine. Increased law firm ad ROI by 140%

Education

  • National University of Sciences and Technology

    Bachelor of Engineering (BEng) in Software Engineering

    2019-01-01-2020-01-01

Languages

  • English

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