CV
See my updated CV
Education
- Bachelor of Science in Computer Science, BRAC University (2016 – 2020)
- CGPA: 3.26/4.00
- Relevant Coursework: Artificial Intelligence, Machine Learning, Computer Vision, Algorithms, Database Systems.
- Undergraduate Thesis: Automatic Bengali License Plate Detection and Recognition Using Neural Networks.
Research Experience
- Fish Detection and Dataset Development (Mar 2026 – Present)
- Collecting and curating a real-world fish image dataset for object detection tasks.
- Project Blog
- Vision-Based Analytics System (Jan 2024 – Present)
- Real-time multi-camera vision system for industrial monitoring.
- Project Blog
- Rice Variety Classification (Feb 2022 – Mar 2022)
- Built a 5-class rice variety classifier using 75K+ labeled images.
- Project Blog
Professional Experience
- Software Engineer, Altersense Limited (Apr 2023 – Present)
- Developed backend systems and distributed pipelines supporting ML workflows.
- AlterEye / Factory Monitoring System (Vision-based analytics)
- AlterBot Project (Automation platform)
- AlterOps Project (Enterprise workflows)
Technical Skills
- Machine Learning & CV: PyTorch, TensorFlow, Keras, CNNs, YOLO, OpenCV, Hugging Face
- Backend Systems: Python (Django, DRF, FastAPI, Flask), Node.js, REST API Design, Redis, MQTT
- Data & Databases: PostgreSQL, MySQL, ETL Pipelines (Pandas, NumPy), GStreamer
- Deployment & DevOps: Docker, Git, Linux, GitHub Actions (CI/CD), Nginx, systemd
Awards
- Vice Chancellor’s List, BRAC University (Spring 2020)
- Merit-Based Scholarship, BRAC University
