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