I'm a Machine Learning Engineer specializing in Deep Learning, Computer Vision, and Natural Language Processing, with strong experience in backend systems and real-time AI applications. Passionate about solving real-world problems in healthcare, automation, and smart infrastructure.
- 🔭 Currently working on AI-based projects involving:
- Developed Computer Vision based vehicle number plate detection (93% accuracy) with robust text extraction for automated entry; applied object detection and segmentation for edge-based real-time recognition.
- Contributed to the Hip Surgery Project by integrating the C-Arm machine with software to process image and video feeds using Python pipelines for real-time hip anatomy offset, leg length calculations, and surgical assistance.
- Edge-based object detection and image segmentation for automation
- 🌱 Constantly learning and exploring tools like Gemini API, LLMs, and OpenAI Whisper for speech/image-based intelligence
- 👯 Looking to collaborate on research, open-source, or hackathon projects focused on AI, CV, or smart systems
- 💬 Ask me about machine learning, computer vision, NLP, or backend API development
- ⚡ Fun fact: I enjoy playing cricket and solving complex programming challenges in my free time
- B.Sc. in Computer Science & Engineering – Daffodil International University (2020 - 2024)
CGPA: 3.75/4.00
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Machine Learning Engineer – DevTechGuru Limited, Dhaka (February 2024 – Present)
Working on parking and AI-based surgery projects. Responsibilities include vehicle counting, automated reporting, and performance improvement of machine learning models. -
Researcher (Member) – Health Informatics Research Lab, DIU (December 2022 – Present)
Conducting research in NLP, computer vision, and deep learning. Recently submitted a paper on gallbladder cancer and currently working on Graph Neural Networks and GANs.
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Semi-automated Parking Management System(DevTechGuru Limited)
Backend and AI feature development, including vehicle detection, manual entry reports, and revenue tracking using YOLOv8 and OCR for number plate recognition. -
Avail Ortho - Hip Overlay Project(DevTechGuru Limited)
Developed backend and AI features to optimize medical imaging for hip replacement surgeries, replacing traditional transparency paper with a digital solution. -
Web-ML Diabetes Predictor
Created a Django web app to predict diabetes risk using advanced ML techniques.
- Languages: Python, C++, Java, PostgreSQL
- ML & DL Frameworks: LangChain, LLMs, TensorFlow, Keras, PyTorch, Scikit-learn
- Algorithms: Supervised & Unsupervised Learning, GANs, Transfer Learning
- Computer Vision: Deep Learning, Object Detection, Image Segmentation
- NLP: BERT, Text Classification, Sentiment Analysis
- Web Development: HTML, CSS, JavaScript, Flask, Django, MySQL, PostgreSQL
- Platforms: Anaconda, JupyterLab, Google Colab, Visual Studio Code
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HackerRank
Solved 200+ coding problems using C++ and Python. -
CodeChef
Active participant in contests, continually honing competitive programming skills. -
URI Online Judge
Participated and submitted solutions, enhancing algorithmic problem-solving skills.
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Intermediate Machine Learning Certificate (Kaggle)
Gained proficiency in XGBoost, cross-validation, pipelines, and data leakage prevention. -
Supervised Machine Learning: Classification and Regression (Coursera)
Covered algorithms like SVM, k-NN, Logistic Regression, and XGBoost through hands-on projects.