Janin A Apurba

Summary

I am a Computer Science and Engineering graduate with a deep passion for solving problems through code. Over the past decade, I have immersed myself in competitive programming, which has sharpened my ability to think critically and design efficient algorithms.

Alongside this, I have developed a strong interest in artificial intelligence, machine learning, deep learning and computer vision — areas where I have gained hands-on experience through academic research projects and self-driven learning. I enjoy exploring how data and intelligent systems can solve real-world problems, and I am always looking for opportunities to grow, collaborate and build meaningful technology.

Today I work as an Advanced ICT Officer at CNRS-UNHCR, where I teach students and apply technology in a humanitarian context — and I have written a free, university-level curriculum of 273 lectures on AI, Machine Learning and Deep Learning.

Research interests

Computer Vision · Machine Learning & Deep Learning · Artificial Intelligence · Image Processing · Data Science · Algorithms & Competitive Programming

My research interests centre on computer vision and deep learning for real-world safety and human understanding — particularly in the context of developing countries such as Bangladesh. My undergraduate research tackled pedestrian detection with risk-level classification for Bangladeshi road scenes and vision-based vehicle over-speed detection, and my current work studies real-time facial-expression analysis with YOLOv11. I am seeking a PhD position where I can develop robust, efficient and fair vision models that work reliably outside benchmark conditions — for road safety, humanitarian applications and education.

Education

Research & publications

1. Emotion Detection at Lightning Speed: Leveraging YOLOv11 for Facial Expression Analysis — Research paper (In publication process)
2. Pedestrian Detection and Risk Level Classification in Perspective of Bangladesh — Undergraduate thesis (Not yet published)
3. Car Speed Checker and Over-Speed Penalty System — Undergraduate thesis (Not yet published)
4. Brain Tumor Detection and Classification — Undergraduate thesis (Not yet published)

Experience

Teaching & outreach

The AI Lecture Hall (ai-lecture-hall.vercel.app) — A free, university-level curriculum of 273 lectures across 10 tracks — from AI foundations and mathematics to transformers, diffusion models, reinforcement learning, MLOps and AI ethics — written as classroom lectures with derivations, code and exercises.

Teaching at CNRS-UNHCR — Teaching students ICT and digital skills as Advanced ICT Officer.

Skills

Programming Languages: C, C++, Java, Python, R, SQL

AI & Machine Learning: Machine Learning, Deep Learning, Neural Networks, Computer Vision, TensorFlow, YOLO

Web & Backend: React.js, Node.js, ASP.NET MVC, ASP.NET Core Web API

Also familiar with: HTML, CSS, JavaScript, Bootstrap, Mobile App Development, UX/UI Design, Git & GitHub, Tableau, PL/SQL

Projects

• AUST-ICPC (Web) — HTML, CSS, PHP, MySQL, XAMPP · code
• Portfolio of Janin A Apurba (previous version) (Web) — HTML, CSS, JavaScript, PHP · code · live
• Auto-Parts Management System (Desktop) — Java, Swing, Apache Derby, NetBeans · code
• Shop Management System (Mobile) — Kotlin, Android Studio · code
• Contact Management System (Database) — Java, MSSQL, NetBeans · code
• Ride Sharing Management System (Database) — Oracle, PL/SQL · code
• DARKO FIGHTER — 2D Game (Game) — C, C++, iGraphics · code
• Computer Graphics Project (Graphics) — JavaScript, HTML, NetBeans · code

Licenses & certifications

• Data Scientist Career Track — 365 Data Science, 18 Nov 2022 DD-5EA8905997 · verify
• Advanced Learning Algorithms — DeepLearning.AI & Stanford Online (Coursera) FL8YQGRKVBXG · verify
• Unsupervised Learning, Recommenders, Reinforcement Learning — DeepLearning.AI & Stanford Online (Coursera) ZWQZ6NH39SDJ · verify
• Divide and Conquer, Sorting and Searching, and Randomized Algorithms — Stanford University (Coursera), 19 Oct 2023 P5Q32DHMY98V · verify
• Advanced Algorithms and Complexity — University of California San Diego (Coursera), 16 Aug 2023 KBU9LT9VLHUD · verify
• Object-Oriented Data Structures in C++ — University of Illinois Urbana-Champaign (Coursera), 17 Aug 2023 2EDZ4XBHE754 · verify
• Capstone: Retrieving, Processing, and Visualizing Data with Python — University of Michigan (Coursera) Q8FVWV6BRBZP · verify
• Python Basics — University of Michigan (Coursera), 12 Aug 2023 P64XZA4MSQ9Q · verify
• Introduction to DevOps — IBM (Coursera), 1 Sep 2023 GYNEKC3BC67K · verify
• MLOps Bootcamp — DataMites, 20 Jul 2023 · verify
• Data Structures and Algorithms (Microlearning) — Board Infinity, 15 Jul 2023 BI-2011115431995 · verify
• Full Stack Development (Microlearning) — Board Infinity, 13 Jul 2023 BI-2011115431982 · verify
• Game Development using PyGame — GUVI Geek Networks, 29 Oct 2022 6Fw1E0965u72Y0X657 · verify
• Convolutional Neural Networks with TensorFlow in Python — 365 Data Science, 21 Nov 2022 CC-448A6A999A · verify
• Deep Learning with TensorFlow 2 — 365 Data Science, 11 Nov 2022 CC-A74C0B2C7E
• Machine Learning in Python — 365 Data Science, 11 Nov 2022 CC-7F46F9D617
• Machine Learning with Decision Trees and Random Forests — 365 Data Science, 18 Nov 2022 CC-34180551C5 · verify
• Machine Learning with K-Nearest Neighbors — 365 Data Science, 18 Nov 2022 CC-0B120E48F0 · verify
• Machine Learning with Ridge and Lasso Regression — 365 Data Science, 18 Nov 2022 CC-48BF454870 · verify
• Machine Learning with Naïve Bayes — 365 Data Science, 16 Nov 2022 CC-2E7D7E2EA5 · verify
• Machine Learning in Excel — 365 Data Science, 16 Nov 2022 CC-94A80C7229
• Linear Algebra and Feature Selection — 365 Data Science, 21 Nov 2022 CC-EB9FBB807B · verify
• Mathematics — 365 Data Science, 18 Nov 2022 CC-C849A117DD
• Probability — 365 Data Science, 18 Nov 2022 CC-5DE88AAE35
• Statistics — 365 Data Science, 16 Nov 2022 CC-2F80B1B7CD
• Introduction to Data and Data Science — 365 Data Science, 8 Nov 2022 CC-61585410EF
• The Complete Data Visualization Course with Python, R, Tableau, and Excel — 365 Data Science, 12 Nov 2022 CC-E7001073CD
• SQL + Tableau + Python — 365 Data Science, 18 Nov 2022 CC-D75C03F60B
• Introduction to Tableau — 365 Data Science, 16 Nov 2022 CC-EB81839B9D
• SQL — 365 Data Science, 18 Nov 2022 CC-4423D92F7D · verify
• Python Programmer Bootcamp — 365 Data Science, 16 Nov 2022 CC-746700C319 · verify
• Introduction to Python — 365 Data Science, 8 Nov 2022 CC-86AD6C7659
• Introduction to R Programming — 365 Data Science, 16 Nov 2022 CC-3C98567C57 · verify
• Introduction to Jupyter — 365 Data Science, 16 Nov 2022 CC-5A161DB35E · verify
• Git and GitHub — 365 Data Science, 16 Nov 2022 CC-B7A5AE885E · verify
• AI Applications for Business Success — 365 Data Science, 19 Nov 2022 CC-61944AF70D · verify
• Product Management for AI & Data Science — 365 Data Science, 19 Nov 2022 CC-A7999D71B4 · verify
• Project Management — 365 Data Science, 17 Nov 2022 CC-AD89D3D571 · verify
• Blockchain for Business — 365 Data Science, 18 Nov 2022 CC-131253FB18 · verify

Honours & awards

• Competitive Programming Awards — Recognised for outstanding performance in online programming contests across various platforms.
• Talent Pool Scholarship (March 2008) — Received a Talent Pool scholarship in Class 5; ranked 4th in Kurigram District.

References

Phone numbers of referees are available on request.