Shourove Sutradhar Dip

About

M.Sc. Computer Science student with hands-on industry experience in machine learning algorithm design, data analysis, and computer vision. Strong background in Python-based ML pipelines, feature engineering, model evaluation, and applied deep learning, including generative AI augmentation using OpenAI and Gemini APIs, and end-to-end CV/ML systems.

Experience

• Computer Vision Engineer · Phzme12-01-2023 – 11-30-2024

  • Developed and optimized machine learning and deep learning algorithms for multi-angle VHS media detection, demonstrating robustness in object recognition. • Built end-to-end ML pipelines including data preprocessing, augmentation, training, and evaluation. • Applied Generative AI (LLMs), including OpenAI and Gemini APIs, to synthetically augment existing datasets, significantly enhancing model robustness and performance against real-world variability.

• Summer Trainee – ‘Digital Techniques 2’ course Automation · Circuits and Systems Research Unit, University of Oulu06-01-2025 – 08-31-2025

  • Engineered Python-based automation tools for the verification and assessment of analog and digital circuit design exercises. • Developed custom scripts to build simulation testbenches, execute simulation runs, and compare student submissions against reference models, which directly reduced the manual grading effort.

• Data Specialist · Remote Office07-01-2021 – 09-30-2022

  • Applied machine learning models and statistical analysis to evaluate marketing and user engagement data. • Conducted data cleaning, feature extraction, and reporting for an international client. • Led a team of four, coordinating data analysis workflows and quality control.

• IT Intern · Mechanic Koi06-01-2021 – 09-30-2021

  • Developed and deployed an AI-powered chatbot to address a wide range of user concerns related to car maintenance and repair, improving customer service efficiency. • Engineered a cross-platform mobile application using Flutter, which integrated an automated Computer Vision module enabling real-time detection and recognition of car models from image inputs.

Education

• University of OuluMaster of Science in Technology, Department of Computer Science and Engineering
• Mawlana Bhashani Science and Technology UniversityBachelor of Science in Engineering, Department of Information and Communication Technology

Similar talent on Pangea

Daniel H.Computer Vision R&D Engineer | AI-Powered AR | Master's in Computer ScienceBeijing, ChinaCamila A.Senior Machine Learning Engineer | Applied Scientist (Computer Vision, MLOps, GenAI) | 6+ YearsCampinas - State of São Paulo, BrazilJabir A.Machine Learning and Robotics SpecialistAymen F.Junior AI Engineer | Deep Learning & Computer Vision | Full-Stack (FastAPI/React)Chott Meriam, Tunisia