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Hi, I'm Md. Mutasim Billah Abu Noman Akanda! 👋

I am working as a Machine Learning Engineer at Apurba Technologies Ltd., passionate about leveraging artificial intelligence to solve real-world problems. My journey involves extensive research and development in machine learning, driven by a curiosity for technology and a dedication to excellence.

noman024's Stats

🚀 About Me

  • 🔭 I am currently immersed in cutting-edge research in machine learning, specializing in Computer Vision.
  • 🌟 I am passionate about leveraging machine learning and artificial intelligence to tackle real-world challenges and make a positive impact on society.
  • 💼 As a tech enthusiast, I am committed to continuous learning and professional development, exploring new technologies and methodologies to enhance my skills and knowledge.

My Articles

Tech Stack

My Skills

🌱 Currently Exploring

  • 🚀 Deep Learning: Exploring advanced concepts in deep learning and neural networks to develop innovative solutions for complex problems.
  • 🌟 Artificial Intelligence: Delving deeper into AI algorithms and methodologies to create intelligent systems that mimic human behavior.
  • 💻 Cloud Computing: Learning cloud computing platforms like AWS and Azure to deploy scalable and reliable applications in the cloud.
  • 📈 Machine Learning Operations (MLOps): Understanding the best practices and tools for managing machine learning models in production environments.

🏆 Achievements

  • 🌟 Awarded Summa Cum Laude (April 2024) for academic excellence and exemplary performance.
  • 🏅 Appreciated as a Peer Mentor (Nov 2022) for providing valuable guidance and support to fellow students.
  • 🎓 Received the Vice Chancellor’s Honors List Scholarship for Summer 2021 (Jan 2022) in recognition of outstanding academic achievements.
  • 📚 Earned multiple Dean’s List Scholarships for Spring 2021 (Sep 2021), Fall 2020 (May 2021), and Summer 2020 (Dec 2020) for maintaining consistently high academic performance.
  • 💻 Successfully set problems in the “ULAB Take off Programming Contest Summer 2022” (Aug 2022), contributing to the competition's success.
  • 🥈 Secured 2nd Runners Up position in the “ULAB Take Off Programming Contest Fall 2021” (Oct 2021), demonstrating strong programming skills.
  • 🥇 Achieved 1st Runners Up position in the “ULAB Take Off Programming Contest Spring 2021” (Feb 2021), excelling in programming challenges.

📬 Get in Touch

Thanks for visiting! Let's connect and explore the fascinating world of technology together. 🚀


Md. Mutasim Billah Abu Noman Akanda's Projects

csbsr icon csbsr

Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE TIM2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].

darknet icon darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dla_paper_resources icon dla_paper_resources

Supporting Resources for the paper 'Optimum Deep Learning method for Document Layout Analysis in Low Resource Languages'

fastervit icon fastervit

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

noman024.github.io icon noman024.github.io

This project is a personal portfolio website for Md. Mutasim Billah Abu Noman Akanda, a Machine Learning Engineer at Apurba Technologies Ltd. The website showcases his professional experience, education, skills, achievements, and machine learning projects.

online-bus-ticket-booking icon online-bus-ticket-booking

I have developed this project so that passengers can buy ticket from home which will lower the physical interaction between passengers and ticket counter environment which will support the concept of new normal after COVID-19..

parking-spot-tracking icon parking-spot-tracking

This project implements a parking spot tracking system using centroid tracking with Euclidean distance and YOLOv9 object detection. It allows for the extraction of frames from an overhead CCTV video, performs object detection on each frame to detect vehicles, and tracks their centroids across frames.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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