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Uzair NadeemUN
Open to opportunities

Uzair Nadeem

@uzairnadeem2

Senior Ruby on Rails engineer building scalable AI automation and RAG systems.

Zimbabwe
Message

What I'm looking for

I’m looking for a role where I can build scalable Ruby on Rails backends and ship AI-powered features end-to-end—RAG, LLM integrations, and automation—while driving performance, reliability, and real business impact through clean async workflows.

I’m a Senior Ruby on Rails engineer with 8+ years of experience building Ruby on Rails applications, AI-powered products, and n8n automation workflows. I focus on scalable backend systems that connect AI with messaging, email, and automation to solve real business problems.

In my current role, I redesigned the RAG pipeline using Shoryuken and ActiveJob—improving response quality by 7× and reducing latency by 80% via parallel subquestion processing. I also optimized Sidekiq jobs and Rails algorithms, cutting processing time by 96.8% and improving execution speed by 31×.

I integrate LLM tool calling and real-time API integrations to improve RAG accuracy by 40%, and I’ve built AI voice assistants and customer feedback workflows with n8n, Vapi, Twilio, and Gmail. I’ve replaced legacy RAG workflows with n8n-driven AI pipelines to enable faster experimentation and simpler integration of LLM-powered features.

Earlier, I led 15+ engineers across 5 projects, raised delivery efficiency by 20% through Agile execution, and mentored teams across Ruby on Rails, React, and PostgreSQL. I’ve also driven performance and infrastructure improvements—optimizing PostgreSQL queries, ActiveRecord performance, and AWS architecture to reduce costs by 25% while improving scalability.

Experience

Work history, roles, and key accomplishments

WL
Current

Backend Senior Software Engineer

WAMO Labs

May 2024 - Present (2 years 1 month)

Redesigned the RAG pipeline with Shoryuken and ActiveJob, improving response quality by 7× and reducing latency by 80%. Optimized Sidekiq and Rails processing, cutting processing time by 96.8% and improving execution speed by 31%, and upgraded Ruby/Rails to improve performance by 20%.

DE

Software Engineer

Devsinc

Aug 2017 - Mar 2021 (3 years 7 months)

Upgraded a legacy Rails application (Rails 4.2 to 5.1, Ruby 2.6), improving performance by 30% and increasing maintainability. Automated deployments with Capistrano to cut deployment time by 50%, and reduced load times by 25% by optimizing inefficient ActiveRecord queries.

Education

Degrees, certifications, and relevant coursework

Uzair hasn't added their education

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