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Muhammad Umer

@muhammadumer33

I build AI-powered full-stack products with LLMs, React, Next.js, and Python.

At PromptReports.ai, I build an AI-powered research platform that generates source-verified reports with citations and automated accuracy scoring. I integrate LLM APIs and develop Python multi-agent workflows in LangChain for secure content processing, validation, and analysis.

Previously at Wizzdi Software Systems, I turned Figma designs into responsive, reusable interfaces using Angular, React.js, and Next.js, collaborating with product and design teams to deliver production features.

Across eight years and four companies, I've progressed from junior MEAN stack developer to senior engineer, building web and mobile products from frontend implementation through Node.js services, data layers, and deployment.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

PromptReports.ai

Nov 2024 - Present (1 year 10 months)

Developed and enhanced an AI-powered research platform using Next.js, React.js, PostgreSQL, MongoDB, and Prisma. Integrated LLM APIs and built Python-based multi-agent workflows with LangChain for content processing and analysis.

Next.js React PostgreSQL MongoDB Prisma LLM APIs Lang Chain Python AI Agents

Senior Software Engineer

Wizzdi Software Systems

Mar 2022 - Oct 2024 (2 years 7 months)

Converted Figma designs into responsive, reusable front-end components using Angular, React.js, and Next.js. Integrated APIs and managed application data to build production-grade web interfaces.

Angular React Next.js Figma API Integration Frontend Development

Software Engineer

Ignite Labs L.L.P

Oct 2019 - May 2022 (2 years 7 months)

Built and maintained front-end features using Angular, HTML5, CSS3, and Bootstrap, integrating REST APIs. Developed backend services with Node.js, MongoDB, and Redis for data management and caching.

Angular HTML5 CSS Bootstrap REST APIs NodeJS MongoDB Redis

Junior MEAN Stack Developer

Private Company

Jul 2018 - Sep 2019 (1 year 2 months)

Developed and maintained front-end and back-end features for web and mobile applications using the MEAN stack. Debugged backend functionality and defined APIs and requirements to support front-end integration.

MEAN stack MongoDB ExpressJS Angular NodeJS API Development Debugging

Education

Degrees, certifications, and relevant coursework

SZABIST

Bachelor of Computer Science, Computer Science

2015 - 2019

Bachelor of Computer Science degree from SZABIST, completed in 2019.

Cognitive Class

Data Science Specialization, Data Science

Completed Data Science Specialization, including Python 101, Introduction to Data Science, Data Science Methodology, and Hands-On with Open Source Tools.