Faizan Saleh

Work on intelligent systems focused on AI-driven automation, agentic workflows, and tool calling using technologies such as MCP servers. Develop AI-powered web applications and automated workflows across .NET, Node.js, React, and Python.
Independently own and maintain multiple systems, managing their development, integrations, deployments, and CI/CD pipelines end-to-end.

As a Trainee Software Developer, I am responsible for integrating AI technologies into applications to enhance functionality, automation, and user experience. My role involves researching, implementing, and optimizing AI-powered features using modern APIs, machine learning models, and intelligent workflows. Additionally, I develop and maintain SaaS solutions for web applications, focusing on scala

Responsible for developing custom evaluation tools for faculty members using Python and React to streamline assessment processes and improve educational outcomes.

Worked at WeSolvd building and deploying SaaS platforms and automation systems across eCommerce, logistics, and legal domains.
Developed SaaS applications using Laravel, MERN stack, Python (FastAPI), React, and Shopify APIs, focused on scalable architecture, business analytics, and workflow automation.
Built a Shopify inventory intelligence platform that consolidated multiple paid tools into a si

Responsible for capturing high-quality gameplay data used to train and evaluate NPC artificial intelligence systems. Operate simulation and control tools using Wayfarer Labs’ OWL control to record structured in-game interactions, behaviors, and decision-making scenarios. Ensure data accuracy, consistency, and coverage across multiple environments and edge cases to support AI model training and val

Responsible for developing custom evaluation tools for faculty members using Python and React to streamline assessment processes and improve educational outcomes.

I collected, cleaned, and analyzed publication data of faculty members from the FAST School of Computing, including journals, conference papers, and research publications over multiple years.
I built a structured dataset tracking research output trends across faculty members and performed comparative analysis to evaluate research growth patterns over time.
As part of the project, I designed and pr

Started my internship as a backend developer in Dev Blends

Studied Software Engineering at FAST-NUCES, where I built a strong foundation in software development, system design, data structures & algorithms, databases, AI/ML, web technologies, and mobile applications. The program emphasized both technical depth and practical problem-solving, with projects ranging from full-stack applications to AI-powered systems.

Alongside academics, I worked on research

Sep 2026

Aug 2026

Jul 2026

Jul 2026