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Rabia Naseer User

@rabianaseeruser

Message

I build production AI SaaS products with LLMs, RAG, and cloud infrastructure.

United States

Message

What I'm looking for

I'm looking to build production AI products where I can turn LLM, RAG, and multimodal prototypes into reliable user-facing capabilities, collaborate across product and engineering, and help teams adopt practical AI workflows.

At MAJC, I build AI-powered full-stack SaaS applications using Python, React, Node.js, and Express.js. I productionize LLM features, RAG pipelines, and NLP workflows, improving response quality by 33%.

I integrate multimodal AI and machine learning models with PyTorch and TensorFlow to support intelligent content processing, recommendations, and AI-assisted workflows. I also deploy and optimize applications on AWS, improving reliability by 27%.

Previously at Eco-Green Developers and AlignerBase, I developed LLM, NLP, RAG, and multimodal processing capabilities that turned complex text and data into useful product experiences. My experimentation improved contextual accuracy by 38% and reduced AI processing time by 31%.

Across my software and AI engineering work, I collaborate with product, data, design, and engineering teams to turn ambiguous requirements into production-ready features. I enjoy sharing practical AI best practices and helping teams adopt modern AI capabilities.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

MAJC

Feb 2026 - Present (7 months)

Designed and developed AI-powered full-stack applications using Python, JavaScript, ReactJS, Node.js, and Express.js, integrating intelligent capabilities into scalable SaaS products. Built and productionized LLM-powered features and RAG pipelines, improving response quality by 33%.

Python JavaScript Node LLM RAG NLP PyTorch TensorFlow AWS CI CD Cloud Infrastructure Prompt Engineering AI Prototyping Model Evaluation

Senior AI Software Engineer

Eco-Green Developers

May 2024 - Feb 2026 (1 year 9 months)

Engineered AI-driven product features with Python, developing machine learning and LLM-based solutions that transformed complex text and data into useful insights. Designed and evaluated RAG architectures and few-shot learning techniques, improving contextual accuracy by 38%.

Python Machine Learning LLM NLP RAG Few Shot Learning PyTorch TensorFlow AWS CI CD AI Deployment Monitoring

AI Software Engineer

AlignerBase

Jan 2021 - Mar 2024 (3 years 2 months)

Developed Python-based AI and software solutions, integrating machine learning models and intelligent workflows into web applications. Built NLP and LLM-powered features for text processing and information extraction, reducing processing time by ~25%.

Python NLP LLM PyTorch TensorFlow RAG AI Prototyping Performance Optimization

Software Engineer, Data & AI

WINGS Interactive

Sep 2017 - Dec 2020 (3 years 3 months)

Built backend and application features with Python, Node.js, and JavaScript, incorporating AI-assisted functionality into software workflows. Applied machine learning and NLP techniques to automate data processing, reducing repetitive manual tasks by 29%.

Python Node JavaScript Machine Learning NLP API Integration REST APIs

Associate Software Engineer

Punch – Research & Digital Marketing

Jun 2017 - Sep 2017 (3 months)

Developed web application features using JavaScript, Python, and REST APIs, focusing on reliable functionality and clean code. Automated data processing and implemented basic machine learning/NLP functionality, reducing manual effort by 20%.

JavaScript Python REST APIs Machine Learning NLP Backend Development Frontend integration