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Shafayatur RahmanSR
Open to opportunities

Shafayatur Rahman

@shafayaturrahman

I build LLM-powered RAG systems and automation agents for real-world AI applications.

Bangladesh
Message

What I'm looking for

I'm looking to build applied AI products involving LLM systems, RAG pipelines, agentic AI, workflow automation, computer vision, predictive ML, and enterprise applications.

I've built DocMind, a production-grade document intelligence system using ChromaDB, HuggingFace embeddings, Groq, and LLaMA 3.3 70B, with query observability and a Plotly analytics dashboard.

My projects span conversational AI, autonomous content agents, and zero-touch workflow automation. I built ChatClone to replicate texting style from WhatsApp history, and designed an AI Content Agent with persistent memory and server-enforced RAG grounding that addressed fabricated statistics, skipped retrieval, and inconsistent tool selection.

I'm currently contributing to applied LLM research and prompt design at WeGro Technologies Limited, following a Data Science and Machine Learning program with the Matsuo-Iwasawa Laboratory at the University of Tokyo. I also bring hands-on experience in computer vision, predictive ML, full-stack platforms, and enterprise automation.

Experience

Work history, roles, and key accomplishments

WL
Current

AI Research & Prompt Engineering Intern

WeGro Technologies Limited

Aug 2026 - Present (0 months)

Joined as an onsite AI Research & Prompt Engineering intern, contributing to applied LLM research and prompt design work.

GW

Data Science & Machine Learning Program

GCI World

Apr 2026 - Jul 2026 (3 months)

Selected for a competitive international DS/ML program run by one of Japan's leading AI research laboratories, gaining advanced exposure to machine learning methodologies and data science practices.

Education

Degrees, certifications, and relevant coursework

BRAC University logoBU

BRAC University

Bachelor of Science, Computer Science and Engineering

2022 -

Grade: 3.44/4.00

Pursuing a Bachelor of Science in Computer Science and Engineering with a CGPA of 3.44/4.00. Coursework includes Artificial Intelligence, Machine Learning, and Data Science.

DC

Dhaka Residential Model College

Higher Secondary Certificate, General Education

2015 - 2019

Grade: HSC: 4.67/5.00, SSC: 5.00/5.00

Completed Higher Secondary Certificate (HSC) with a GPA of 4.67/5.00 and Secondary School Certificate (SSC) with a GPA of 5.00/5.00.

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