• LinkedIn: linkedin.com/shourov-dip
• GitHub: github.com/GitDip008
• Email: shourovdip147@gmail.com
• Facebook: facebook.com/myself.dip
• WhatsApp: +8801673374746

A dedicated ML/AI engineer with strong expertise in computer vision, specializing in building real-time detection models and automating visual data analysis. I aim to leverage my skills in machine learning, computer vision, and data analysis to develop innovative solutions for real-world applications. With a proven track record in designing intelligent systems and extracting insights from complex datasets, I am committed to driving impactful projects and contributing to cutting-edge AI advancements.

Bachelor of Science in Engineering
Department of Information and Communication Technology
Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
2022
CGPA: 3.60/4.00
Thesis: S. S. Dip, S. R. Bangshi, and S. Waheed, "Real-Time and Accurate Monitoring of Social Distance and Contact Tracing during COVID-19 Situation," 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, pp. 1-4, doi: 10.1109/ICECTE57896.2022.10114539.

Computer Vision Engineer
Phzme, USA (Remote work)
December 2023 - Present

• Developed computer vision models for VHS tape detection, including solutions for multi-angle detection.
• Built datasets by scraping eBay data and leveraged this information for analyzing collector trends, assessing demand for specific genres or titles, and optimizing inventory for rare or limited-edition releases.
• Used a condition appraisal model to assess item condition and predict pricing based on visual data and scraped information.

Data Specialist
Remote Office, Dhaka, Bangladesh
July 2021 - September 2022

• Utilized advanced Machine Learning algorithms to conduct an in-depth analysis of content marketing strategies for a prominent Chinese client.
• Led an R&D team of four, driving improvements in data retrieval techniques and methodologies.
• Collaborated with the Quality Control team to refine and optimize operational processes.

IT Intern
Mechanic Koi, Dhaka, Bangladesh
June 2021 - September 2021

• Developed an AI-powered chatbot to address a wide range of user concerns related to car maintenance and repair.
• Engineered a cross-platform mobile application using Flutter, enabling automatic detection of car models from images.

• Programming Languages: Python, C, C++, Java
• Frameworks: Django, Flask, GraphQL
• Mobile Development: Flutter, Dart
• Databases: PostgreSQL, MySQL, SQLite
• Machine Learning & AI: Computer Vision, Object Detection, Deep Neural Networks, Linear/Logistic Regression, Random Forest, Decision Trees, Data Scraping, Data Analysis, Model Deployment, Large Language Models (LLMs) and APIs like OpenAI (GPT-3, GPT-4), Claude AI
• Libraries: OpenCV, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, BeautifulSoup
• Version Control: Git, GitHub
• IDE & Tools: PyCharm, VSCode, Sublime Text, Anaconda, Google Colab, Jupyter, IntelliJ IDEA, Docker
• Cloud Platforms: AWS, Google Cloud, Heroku
• Operating Systems: Windows OS, Linux
• Graphics Editing Software: Adobe Illustrator, Photoshop

• Face Recognition Attendance System

  • Developed a face detector that can detect and recognize known persons with descriptions and unknown persons if their information is not saved.
  • The program can determine the recognition time and save it in a .csv file.

• Augmented Reality

  • Used Feature Detection technique to detect a target image and overlay a video on top of it in real-time.

• Chatbot Jarvis

  • Built a Chatbot system that can detect audio commands and respond to them.
  • It can answer specific questions, search in Google, search and read results from Wikipedia, open YouTube and suggest something to watch, open Stack Overflow, find locations on Google Maps, play music from a computer, send emails, open software, and exit when commanded.

• Walton Refrigerator Model Detection

  • Developed a program to detect features and descriptors from 24 Walton refrigerator designs.
  • Used image classifier to detect the refrigerator's model in real-time.

• Obstacle Avoiding Robot

  • Built an obstacle-avoiding robot that uses an Ultrasonic sensor to detect objects and change its direction if the obstacle is detected at a certain distance.
  • Participated in RUET Technocracy 2019 with this project.

• Secretary, IEEE MBSTU SB 2020-2021
• Executive Member, MBSTU Band Music Community 2019-2021
• Member, MBSTU Photographic Society 2019-2020
• Proficient in Adobe Illustrator
• Hobbies: Playing guitar, Photography

Thank you for taking the time to explore my profile! I'm passionate about leveraging technology to create innovative solutions, and I'm always eager to learn and collaborate on exciting projects. If you have any questions or would like to connect, feel free to reach out via email/facebook or connect with me on LinkedIn.