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Muhammad Bin SikandarMS
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Muhammad Bin Sikandar

@muhammadbinsikandar

Full Stack Developer building DostIQ’s K–12 SaaS platform with Next.js, FastAPI, and AI integrations.

Pakistan
Message

At DostIQ, I architected and built a multi-tenant K–12 SaaS learning platform using Next.js, FastAPI, and PostgreSQL. I integrated Claude and DeepSeek APIs for curriculum generation, automated grading, student analytics, and an AI tutor.

For a US-based client’s AI-LMS project, I built a production LMS and developed REST APIs and Python workflows for course and user data. I’ve also delivered a WhatsApp support bot and admin dashboard for Upwork clients, maintaining a 5-star rating.

Experience

Work history, roles, and key accomplishments

CT
Current

Technical Support Engineer

Celerant Technology

Jan 2026 - Present (9 months)

Resolved L2 production issues on a SaaS retail platform within SLA targets and investigated backend data inconsistencies using T-SQL. Documented 10 confirmed software bugs in the first four months and escalated root-cause findings to engineering.

UP

Full Stack Developer

US-Based Client (AI-LMS Project)

Jan 2025 - Dec 2025 (11 months)

Built a production LMS with Next.js, Supabase, PostgreSQL, Inngest, and OpenAI. Developed REST APIs and Python workflows for course and user data.

Turing logoTU

AI Training Engineer (Python)

Aug 2025 - Nov 2025 (3 months)

Reviewed and rewrote Python solutions across hundreds of tasks, correcting logic and efficiency issues.

NN

Research & Development Engineer

NIC Nutech

Jun 2024 - Aug 2024 (2 months)

Built a Django weather application integrating a custom IoT weather station via the Wunderground API. Designed supporting REST APIs.

Education

Degrees, certifications, and relevant coursework

COMSATS University Islamabad logoCI

COMSATS University Islamabad

Bachelor of Science, Computer Science

2022 -

Grade: 3.75/4.00

Pursuing a BS in Computer Science with a CGPA of 3.75/4.00, expected to graduate in June 2026.

PC

Punjab College

F.Sc., Pre-Engineering

Grade: 91%

Completed F.Sc. Pre-Engineering with a score of 91%.

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