Umer M. looks like a good fit?

We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?

Schedule Interview Now

Umer M. Full-Stack, AI and Cloud Platforms

My name is Umer M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Scripting, Make.com, HighLevel, n8n, Zapier, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Automated Lead Management System – Make.com + Typeform → Pipedrive, End-to-End Lead Generation Workflow with Zapier Automation, LeadFlowX – Full-Stack Lead Capture & Automation System with n8n, AI-Powered Telegram Assistant with GPT-4 & DALL·E Integration, Support IQ: RAG-based AI customer support platform, 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

  • Full-Stack, AI and Cloud Platforms

    2 years

  • Scripting

    1 Year

  • Make.com

    1 Year

  • HighLevel

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

10Pearls

Ready to get matched with vetted developers fast?

Let's get started today!

Hire Remote Developer

Experience Highlights

Automated Lead Management System – Make.com + Typeform → Pipedrive

A client struggled with scattered and duplicate leads, so I created a no-code Make.com scenario to resolve the issue. The workflow captures Typeform entries, checks Pipedrive for existing contacts and organizations, and routes data intelligently. It automatically creates or updates records, logs each activity, and assigns leads to the right pipeline stages. With added filters, search modules, and error handling, the system ensures clean, actionable data. No messy input, no manual follow-up, just fast, scalable lead management, end-to-end.

End-to-End Lead Generation Workflow with Zapier Automation

I built an advanced lead generation system in Zapier for a client to fully automate their inbound funnel. It captures Typeform responses, validates emails, formats phone numbers, enriches leads using Clearbit, and sends real-time alerts via Slack and Email. Leads are auto-logged in Google Sheets, synced with HubSpot, and routed using filters and paths. The flow includes conditional logic, retries, and delays—cutting manual work by 95% and streamlining qualified lead delivery.

LeadFlowX – Full-Stack Lead Capture & Automation System with n8n

LeadFlowX is a full-stack lead generation system built with React, Node.js, and n8n. I created a frontend form that collects lead data, which is securely sent via webhooks to an n8n automation workflow. The workflow handles personalized email responses, logs leads, and can integrate with CRMs or marketing tools. Its no-code backend makes it easily adaptable for sales, outreach, and contact enrichment, ideal for both B2B and B2C use cases.

AI-Powered Telegram Assistant with GPT-4 & DALL·E Integration

Developed an event-driven, AI-integrated Telegram automation using n8n that processes real-time user input via OpenAI’s GPT-4. The system maintains per-user conversational memory, routes queries through conditional branches, and dynamically handles both text and image generation via DALL·E. The architecture eliminates backend complexity by orchestrating API calls, session context, and error handling within a no-code workflow, enabling scalable, intelligent interactions inside Telegram.

Support IQ: RAG-based AI customer support platform

Support IQ is an AI-powered customer support platform designed to help businesses resolve queries instantly while monitoring support performance in real time. The goal was to build a system that could autonomously answer customer questions using Retrieval-Augmented Generation (RAG) and provide clear insight into team KPIs. The platform intelligently retrieves answers from internal documentation and presents data through a modern, responsive dashboard for enhanced support efficiency.

Education

  • National University of Sciences and Technology

    Bachelor of Science (BS) in Computer science

    2019-01-01-2023-01-01

Languages

  • Arabic
  • English
  • Spanish
  • Panjabi, Punjabi
  • Urdu

Personal Accounts