MN

Md. Mubasshir Naib

AI Integration & LLM Engineer

Strongly determined about career goal. Highly passionate about learning newer things daily.

About

I am an AI Integration & LLM Engineer at Brain Station 23 with a strong background in Natural Language Processing, Large Language Models, and full-stack development. I graduated with a B.Sc. in Computer Science and Engineering from CUET with a CGPA of 3.79 (with Honors).

My work focuses on building enterprise-grade AI agents, RAG pipelines, and intelligent automation solutions. I am passionate about solving complex problems through AI and have published research at NAACL and LT-EDI workshops.

Education

B.Sc. in Computer Science and Engineering

Chittagong University of Engineering and Technology

2020 – 2025 · 3.79 with Honors

Higher Secondary Certificate (H.S.C.)

Dhaka Residential Model College, Dhaka

2019 · GPA 5.00

Secondary School Certificate (S.S.C.)

Dhaka Residential Model College, Dhaka

2017 · GPA 5.00

Thesis

Multi-label Emotion Classification on Code-Mixed Text (Banglish)

Developed and evaluated ML, DL, Transformer, and LLM-based models for multi-label emotion classification on Bangla-English code-mixed text across 9 emotion categories.

Best result achieved 78.64% F1-score using Mistral-7B; paper submitted to IEEE SPICSCON 2026 (Under Review).

Supervisor: Prof. Dr. Mohammad Shamsul Arefin

Publications

cuetRaptors@DravidianLangTech 2025: Transformer-Based Approaches for Detecting Abusive Tamil Text Targeting Women on Social Media

Md. Mubasshir Naib, Md. Saikat Hossain Shohag, Alamgir Hossain, Jawad Hossain, Mohammed Moshiul Hoque

NAACL 2025, DravidianLangTech Workshop

CUET's_White_Walkers@LT-EDI 2025: Transformer-Based Model for the Detection of Caste and Migration Hate Speech

Jidan Al Abrar, Md Mizanur Rahman, Ariful Islam, Md Mehedi Hasan, Md. Mubasshir Naib, Mohammad Shamsul Arefin

LT-EDI 2025

CUET's_White_Walkers@LT-EDI 2025: A Multimodal Framework for the Detection of Misogynistic Memes in Chinese Online Content

Md. Mubasshir Naib, Md Mizanur Rahman, Jidan Al Abrar, Md Mehedi Hasan, Md Siddikul Imam Kawser, Mohammad Shamsul Arefin

LT-EDI 2025

CUET's_White_Walkers@LT-EDI 2025: Racial Hoax Detection in Code-Mixed on Social Media Data

Md Mizanur Rahman, Jidan Al Abrar, Md Siddikul Imam Kawser, Ariful Islam, Md. Mubasshir Naib, Hasan Murad

LT-EDI 2025

Experience

Software Engineer I

Brain Station 23

2025 – Present
  • Designed and enhanced enterprise AI Agents and RAG-based systems using OpenAI, AWS Bedrock, FastAPI, and Python.
  • Built advanced RAG pipelines with semantic search, hybrid retrieval, document ingestion, and knowledge-base integration, improving search relevance and information accessibility.
  • Integrated AWS (S3, Textract, Bedrock, Translate, Polly, Transcribe, CloudWatch) to automate document processing, translation, monitoring, and AI-driven workflows.
  • Boosted scalability via Redis caching, connection pooling, and hybrid cache revalidation, significantly reducing latency and infrastructure overhead.
  • Delivered enterprise web apps with React, Next.js, TypeScript, WebSockets and implemented AI observability using Langfuse tracing and analytics.
OpenAIAWS BedrockFastAPIPythonLlamaIndexReactNext.jsTypeScriptLangfuse

Internships & Training

Geeky Solutions Learnathon 3.0

Organized by Brain Station 23

Shortlisted in .NET stack
  • Implemented ASP.NET Core Web API with best practices, including Clean Architecture, Monolithic Pattern, CRUD, Authentication, Authorization, Global Exception Handling, Serilog, Documentation, Pagination, and more.
Project Repository: GitHub Link
2-week industrial attachment
  • 2-week industrial attachment focused on implementing ASP.NET Core Web API.
  • Gained experience in Clean Architecture, Monolithic Pattern, CRUD operations, Authentication, Authorization, Global Exception Handling, Serilog, Documentation, Pagination, and more.
Project Repository: GitHub Link

Skills

Languages & Frameworks

PythonFastAPIReact / Next.jsTypeScriptC/C++ASP.NETMySQL

AI & ML

OpenAI GPTAWS BedrockRAG / Semantic SearchmBERT / XLM-RoBERTaMistral-7B / LLMsLangfusePrompt Engineering

Cloud & Tools

AWS (S3, Textract, Polly)RedisWebSocketsJWT / RBACGit / GitHub / VS Code

Achievements

1

Dean's Award, Department of CSE, CUET – Recognized for excellent academic performance among top students.

2

12th position, Mujib Borsho Programming Contest, 2022 – Cuet Computer Club.

3

17th position, Cuet Intra University Programming Contest (Divisional), 2022.

4

160th position, ICPC Preliminary Online Contest, Dhaka Regional, 2021-2022.

Problem Solving

Solved 1200+ competitive programming problems across different online platforms.

Codeforces

MUBASSHIR

Leetcode

Mu6a551r

StopStalk

Mu6a551r

Get in Touch

I'm always open to new opportunities, collaborations, and interesting conversations.

mubasshir9704@gmail.com+880 1312-690398