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Muhammad SaimMS
Open to opportunities

Muhammad Saim

@muhammadsaim2

AI product engineer and founder building production full-stack RAG tutoring and real-time execution platforms.

Pakistan
Message

What I'm looking for

I’m looking for remote roles where ownership and velocity matter—building production-grade AI features end-to-end, shipping quickly, and pairing engineering execution with product thinking for measurable user impact.

I’m a CS student at FAST NUCES and the founder of Vexilot.dev, a production AI platform serving 2,100+ users. I build full-stack AI products at the intersection of engineering and product thinking, and I’ve shipped RAG systems, real-time execution pipelines, and gamification engines—largely solo.

At Vexilot.dev, I designed and deployed a competitive programming platform serving 1200+ active users within two weeks, combining real-time code execution, AI-powered tutoring, and a gamification engine. I built a RAG-powered tutoring system with LangChain + Gemini that reduced query response time 90%, implemented a PostgreSQL (Supabase) schema with 20+ tables and Row-Level Security, and engineered a secure execution pipeline integrating Judge0 with Piston fallback (C++, Python, Java) with sandboxing and 99.5% uptime. I also focus on platform integrity—rate limiting with Redis/Upstash, XSS/SQL injection prevention, security logging, and AI-based plagiarism detection—while delivering production reliability through Docker, CI/CD, and zero-downtime deployments to Vercel/Cloudflare.

Experience

Work history, roles, and key accomplishments

VE
Current

Founder & Product Engineer

Vexilot.dev

Nov 2025 - Present (5 months)

Designed and deployed a production-grade competitive programming platform serving 1,200+ active users within two weeks, featuring real-time code execution, AI tutoring, and gamification. Built RAG-powered tutoring that reduced query response time by 90% and implemented a real-time code execution pipeline with 99.5% uptime.

Education

Degrees, certifications, and relevant coursework

FAST National University of Computer & Emerging Sciences logoFS

FAST National University of Computer & Emerging Sciences

Bachelor of Science (BS), Computer Science

BS in Computer Science at FAST NUCES, Islamabad. Expected graduation year is 2029.

SC

Scholar Science College, Wah Cantt

Intermediate in Computer Science (ICS), Computer Science

2023 - 2025

Grade: 88%

Intermediate in Computer Science (ICS) at Scholar Science College, Wah Cantt. Secured 88% in the program.

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