Greetings.
Hi, I'm a recent graduate in Computer Science and Engineering from Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh.
Open to work: Junior/Trainee level Software, Data or AI roles
My research interests are NLP, computer vision, LLMs, and deep learning, especially AI for healthcare and low-resource language processing. Day to day, most of my work is in Python with PyTorch, SQL, Pandas, NumPy, Matplotlib, and a few other libraries and frameworks.
The plan is simple: to start in a Junior or Trainee level Software, Data, or AI role where I can learn from experienced engineers. From there, I'd like to grow into Software, Data, or Cloud Engineering, and eventually work as a Data Scientist or AI Engineer, which is the goal that excites me most.
Most of these skills came from my thesis and course projects, with plenty of self-study along the way. I also take professional, skill-based courses on Coursera and other platforms that fit my research interests and career goals. To build my AI engineering skills from the foundations, I'm following a roadmap I put together after looking closely at AI job posts and the skills they ask for.
A full-time, Junior or Trainee level Software, Data or AI role. I'm open to remote work, or on-site work in Dhaka.
Ahsanullah University of Science and Technology (AUST)
· CGPA 3.13 / 4.0
Mymensingh Government College · GPA 5.0 / 5.0
Progressive Model School, Mymensingh · GPA 5.0 / 5.0
I finished the programme by the grace of Almighty: 156 credits, of which 33 were labs and projects, all version-controlled and public in my lab repository. Full syllabus (Bulletin Spring 2020).
Closest to my focus: Data Structures, Algorithms, Object Oriented Programming, Database Management Systems, Operating Systems, Computer Networks, Introduction to AI, Pattern Recognition & ML, Soft Computing, Digital Image Processing, Software Development I–V, and Mathematics I–IV.
Technical writing, presentations and clear issue reporting, shown in thesis documentation and project reports.
Cross-functional teamwork, code reviews and mentoring, across the thesis, Pattern Recognition & ML, the Soft Computing research paper, and the DoomExploder, TrendWave and railway system group projects.
Debugging, root-cause analysis and algorithmic thinking, from competitive programming practice to BanglaGuard model optimisation.
Reading papers, experimenting with models and never being done learning, applied through the BanglaGuard thesis and my ML coursework.
Willingness to learn, take responsibility, and work collaboratively with seniors.
Supervised by Prof. Dr. Md. Shahriar Mahbub. Submitted as my undergraduate thesis and now under review for conference publication.
A deep learning pipeline that classifies 4,118 Bangladeshi dessert images across 27 categories (EfficientNet-B0 vs ResNet-18) and generates traditional recipes from a corpus of 81 authentic recipes (GPT-2 vs T5, with GPT-2 performing best).
An e-commerce platform with an integrated real-time auction feature, where users can browse, bid on, and purchase products. I built it on my own with PHP, MySQL and Bootstrap, and most of the demanding e-commerce features are in place.
A TikTok-inspired short-video mobile app with video sharing, user profiles, and social interactions. We built it as a team with Flutter, Dart and Firebase.
A 2D action game with sound and graphics integration, built collaboratively using C/C++ and the iGraphics framework.
A desktop railway ticket booking system with a Java Swing GUI and a MySQL back end, built on object-oriented design principles.
A multimodal deep learning framework for audio-visual detection of inappropriate content in Bangla children's cartoon videos. It combines EfficientNet-based CNNs for visual features, a BiLSTM for temporal modelling, and a spectrogram-based CNN for Bangla audio classification.
I always seek the kind consideration, blessings, and goodwill of each and every one of you. May Allah bless you all.
Naeem Beg · 17 June 2026