Open to opportunities

Adnanul Islam

@adnanulislam

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AI research engineer specializing in agentic automation, LLM systems, and applied ML.

Bangladesh

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What I'm looking for

I seek roles applying agentic automation and LLM systems in research-driven teams, with opportunities for impactful projects, mentorship, and publication.

I am an AI research engineer focused on building intelligent automation systems that integrate machine learning, agentic frameworks, and large language models. I design API-driven solutions and multi-agent workflows, and I conduct applied research in LLMs, bias mitigation, and computer vision, with peer-reviewed publications and practical deployments.

My hands-on experience includes architecting N8N-based multi-agent pipelines, implementing FastAPI services, and developing vision and mobile applications using YOLOv8, PyTorch, Flutter, and modern web stacks. I mentor students, contribute to academic research, and deliver freelance projects that emphasize robustness, scalability, and real-world impact.

Experience

Work history, roles, and key accomplishments

Current

Undergraduate Teaching Assistant

Current

United International University

May 2024 - Present (1 year 8 months)

Assisted courses in Data Structures, Computer Systems, and OOP; mentored students in C, C++, Java, Python and guided ML/DL project work improving student outcomes.

Teaching Mentoring C++Java Python Machine Learning Deep Learning

Freelance Developer

Himalaya Wellness (Freelance)

Built a secure, responsive distributor registration and form-management portal to streamline onboarding and data handling.

Next.js Firebase Authentication Firestore Responsive Design Web Development

Researcher / Developer

MosquitoMiner (Academic Project)

Designed and built a lightweight autonomous rover for detecting and eliminating mosquito breeding sites; published at IEEE TENSYMP 2024.

YOLOv8 C++Python Embedded Systems Computer Vision Robotics

AI Research Engineer

Agentic Automation & LLM Systems

Developed agentic automation and LLM-driven systems, building multi-agent workflows and API-driven services to enable scalable intelligent automation and applied research in bias mitigation and computer vision.

N8n fastAPI Python Docker Redis LLM PyTorch Computer Vision

Mobile App Developer

ParkiBd

Developed a real-time mobile app for finding, booking, and managing parking spots, integrating authentication and cloud storage for users.

Flutter Firestore Storage Mobile Development Real Time Systems

Education

Degrees, certifications, and relevant coursework

United International University

Bachelor of Science, Computer Science & Engineering

2022 -

Grade: CGPA 3.84

Activities and societies: Undergraduate Teaching Assistant; research and project work including IEEE publications; scholarship recipient and multiple project show awards.

Pursuing a B.Sc. in Computer Science & Engineering with coursework in Machine Learning, Digital Image Processing, and Bioinformatics; maintaining a 3.84 CGPA and engaged in applied research and publications.