Muhammad Saim
@muhammadsaim2
AI product engineer and founder building production full-stack RAG tutoring and real-time execution platforms.
What I'm looking for
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
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
Bachelor of Science (BS), Computer Science
BS in Computer Science at FAST NUCES, Islamabad. Expected graduation year is 2029.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
vexilot.devJob categories
Skills
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