Muhammad Rayyan Bin Salman

Bronze Medalist Software Engineer specializing in Real-Time Systems and Applied AI

Based in: Islamabad, PakistanCurrently: Web Developer & Marketing Automation Associate • Websites, Funnels & CRM Automation Expert, Growth GuildExperience: 1 year

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Full-stack engineer with a 3.94 CGPA and expertise in building high-performance WebRTC platforms and computer vision applications. Proven track record in developing end-to-end products, from CRM automation for 150+ workflows to AI diagnostic tools with 97% accuracy.

Experience

Web Developer & Marketing Automation Associate • Websites, Funnels & CRM Automation Expert

Growth GuildRawalpindi, PakistanworkNov 2025 – Present

Summary

Build and maintain 150+ GoHighLevel CRM workflows, sales funnels, and client websites across 15+ accounts, reducing lead-response time and improving follow-up consistency. Automate 30+ lead-capture and follow-up processes with GoHighLevel and Zapier, saving 10+ hours per week and increasing appointment conversion by 20%. Launched 12+ responsive landing pages and campaign sites that generated 2,500+ leads and increased lead conversion rates by 25% across client campaigns.

Results

  • Reduced lead-response time and improved follow-up consistency.
  • Saved 10+ hours per week through automation.
  • Increased appointment conversion by 20%.
  • Generated 2,500+ leads through 12+ responsive landing pages.
GoHighLevelCRMZapierWebsitesFunnels

UI/UX Developer Intern

REPLA Technologies Pvt. Ltd.Rawalpindi, PakistaninternshipJul 2024 – Sep 2024

Summary

Developed 30+ reusable React components for 3 client projects, improving cross-platform compatibility and increasing interface consistency across desktop and mobile releases by 40%. Translated 20+ Figma screens into responsive React interfaces, reducing frontend bug reports by 15%.

Results

  • Increased interface consistency across desktop and mobile releases by 40%.
  • Reduced frontend bug reports by 15%.
ReactFigma

Skills

Technical

CRM workflow automation
Zapier
GoHighLevel
CSS3CSS3
responsive UI
ReactReact
REST APIs
JavaScriptJavaScript
PythonPython
HTML5HTML5
Node.jsNode.js
computer vision
Next.jsNext.js
FigmaFigma
MySQLMySQL
MongoDBMongoDB
RedisRedis
PyTorchPyTorch
ResNet
retrieval-augmented generation (RAG)
LLM application integration
FlaskFlask
WebRTC
Socket.IO
webhooks
JiraJira
FirebaseFirebase
Webflow
Framer
Java
TrelloTrello
C++C++
NLP
SupabaseSupabase
PHPPHP
AngularAngular
C#C#
Prompt Engineering
dynamic bitrate adaptation
STUN/TURN server architecture
Claude

Projects

Croptivize - Crop Disease Detection System

Developeracademic
Trained and integrated a ResNet plant-disease classifier in PyTorch, achieving 97% classification accuracy and enabling rapid diagnosis from leaf images. Built an end-to-end React, Flask, and MongoDB application serving 1,000+ test predictions with average inference latency below 2 seconds, converting the trained model into an interactive diagnostic product. Designed an image-upload workflow that reduced identification time from 20 minutes to under 30 seconds for 10+ test users.
ReactFlaskPyTorchResNetMongoDB

Bioscout Islamabad

Hackathon Participantacademic
Built a community biodiversity platform for Islamabad and nearby regions, competing against 200+ teams; streamlined crowdsourced environmental monitoring into a single workflow, logging 50+ species observations from 10+ users. Implemented a RAG pipeline over a local biological knowledge base, achieving 90% response relevance across 100+ evaluation queries and grounding user answers in regional species data. Integrated a computer-vision transformer for real-time species identification across 50+ regional species classes, achieving approximately 92% classification accuracy and reducing manual identification time by 70%.
StreamlitComputer VisionRAG

CallsFlow

Lead Engineerprofessional
Engineered a browser-based WebRTC platform that processes 1,000+ inbound calls per month across 50 U.S. states, enabling insurance agents to connect with high-intent callers without dedicated telephony hardware. Reduced agent onboarding time by 40% by designing a three-step WebRTC setup flow, accelerating activation and lowering setup friction for distributed agents. Implemented real-time agent presence and webhook routing with Redis and Socket.IO, achieving sub-200 ms latency and improving call-assignment responsiveness.
ReactNode.jsRedisWebRTCSocket.IOSTUN/TURN server architecturedistributed edge locationsdynamic bitrate adaptationjitter buffer tuning

Orderly

personal
Built a tool from scratch that connects restaurant users to WhatsApp, allowing customers to place orders directly through the chat interface.
WhatsApp API

Education

BS Software Engineering

Capital University of Science & TechnologySoftware EngineeringGPA 3.94Oct 2021 – Jul 2025

Thesis. Croptivize - Crop Disease Detection System

Societies & activities

Software Engineering Department

Recognition

Awards

Bronze Medalist

Capital University of Science & Technology2025

Software Engineering Class of 2025

Certificate of Achievement

ICPC Asia Topi Online Preliminary Programming Contest2022

Chancellor's Honor Roll

Capital University of Science & Technology

Awarded 4 times

Dean's Honor Roll

Capital University of Science & Technology

Awarded 4 times

2nd Most Active Freelancer

Software Engineering Department, Capital University of Science & Technology

Social impact & activities

Volunteer

Shaukat Khanum Memorial Trustvolunteer

Volunteer work for the trust.

Bioscout Islamabad Presentation

Hackathon 2025 • AI for a Sustainable Futureconference talk2025

Presented a community biodiversity platform for Islamabad.

Hire MuhammadReach out about a role, a contract or a conversation.For recruiters

Muhammad's twin is AI, it can make mistakes.