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Muhammad Rahim UsmanMU
Open to opportunities

Muhammad Rahim Usman

@muhammadrahimusman

Full-stack developer creating AI/ML and LLM-powered applications, from RAG search to production web platforms.

Pakistan
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What I'm looking for

I’m looking for an internship where I can build AI/ML and LLM-based products while shipping reliable full-stack features—using RAG, agentic workflows, and robust APIs—inside a team that values learning, clean engineering, and impact.

I’m a Computer Science undergraduate at FAST-NUCES with a CGPA of 3.48 and Dean’s List recognition, and I build production-ready software that blends full-stack development with AI/ML and LLM-based applications.

I’ve developed web platforms using React.js and FastAPI, including a RAG-augmented semantic search system over 6,000+ structured records, improving retrieval relevance by ~30% and delivering sub-200ms query response. I also integrate large language models into backend services and implement NLP pipelines, with agentic LLM tooling using LangChain and LangGraph.

I’m currently a Teaching Assistant for Database Management Systems and Data Structures & Algorithms, helping students strengthen SQL and algorithm skills that directly support RAG knowledge bases and backend systems. I’m seeking internship opportunities in AI engineering, software development, and machine learning.

Experience

Work history, roles, and key accomplishments

FA
Current

Teaching Assistant - DBMS

FAST-NUCES

Jan 2026 - Present (6 months)

Guiding 40+ students through SQL query design, normalization, indexing, and schema modeling while reinforcing skills relevant to AI/ML pipelines, RAG knowledge-base construction, and backend systems.

FA

Teaching Assistant - DSA

FAST-NUCES

Aug 2025 - Dec 2025 (4 months)

Designed and delivered 5+ supplementary exercises for Data Structures & Algorithms, supporting 30+ students in algorithm design, data structure implementation, and complexity analysis.

Education

Degrees, certifications, and relevant coursework

FA

FAST-NUCES

Bachelor of Science, Computer Science

Grade: CGPA 3.48/4.0; Dean’s List; Top 10% of cohort

Activities and societies: Dean’s List (3rd sem 2024; 5th sem 2025; 6th sem 2026). Relevant coursework: AI, Data Science, NLP, Probability & Statistics, DSA, DBMS, Web Technologies, Software Engineering projects.

Undergraduate student in Computer Science at FAST-NUCES (CGPA 3.48/4.0), earning Dean’s List recognition and placing in the top 10% of the cohort. Coursework includes AI, Data Science, Natural Language Processing, probability & statistics, Data Structures & Algorithms, Database Systems, and Web Technologies.

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