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https://github.com/injamul3798/injamul3798

Myself
https://github.com/injamul3798/injamul3798

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Myself

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README

          

### Hi there, I'm Injamul! 👋

### 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

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### 🛠️ Educational Qualifications

- **B.Sc. in Computer Science & Engineering** – Daffodil International University (2020 - 2024)
CGPA: 3.75/4.00

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### 💼 Professional Experience

- **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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### 🚀 Key Projects

- **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.

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### 🛠️ Skills & Tools

- **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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### 🏆 Competitive Programming

- **[HackerRank](https://www.hackerrank.com/profile/injamul_3798)**
Solved 200+ coding problems using C++ and Python.

- **[CodeChef](https://www.codechef.com/users/injamul01_3798)**
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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### 📜 Certificates

- **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.