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I am Riddhi Mandal, a dynamic AI/ML Engineer specializing in Deep Learning, Computer Vision, and NLP. I craft end-to-end AI solutions in Python using TensorFlow and PyTorch to drive innovative products and operational efficiency. My experience spans research, model deployment, and cross-functional collaboration with domain experts. I enjoy turning complex data into actionable insights and am eager to contribute to forward-thinking data science teams.…I am Riddhi Mandal, a dynamic AI/ML Engineer specializing in Deep Learning, Computer Vision, and NLP. I craft end-to-end AI solutions in Python using TensorFlow and PyTorch to drive innovative products and operational efficiency. My experience spans research, model deployment, and cross-functional collaboration with domain experts. I enjoy turning complex data into actionable insights and am eager to contribute to forward-thinking data science teams.

Riddhi Mandal

AI Engineer, Data Scientist, AI Developer, +2

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I am Riddhi Mandal, a dynamic AI/ML Engineer specializing in Deep Learning, Computer Vision, and NLP. I craft end-to-end AI solutions in Python using TensorFlow and PyTorch to drive innovative products and operational efficiency. My experience spans research, model deployment, and cross-functional collaboration with domain experts. I enjoy turning complex data into actionable insights and am eager to contribute to forward-thinking data science teams.…I am Riddhi Mandal, a dynamic AI/ML Engineer specializing in Deep Learning, Computer Vision, and NLP. I craft end-to-end AI solutions in Python using TensorFlow and PyTorch to drive innovative products and operational efficiency. My experience spans research, model deployment, and cross-functional collaboration with domain experts. I enjoy turning complex data into actionable insights and am eager to contribute to forward-thinking data science teams.

Available to hire

I am Riddhi Mandal, a dynamic AI/ML Engineer specializing in Deep Learning, Computer Vision, and NLP. I craft end-to-end AI solutions in Python using TensorFlow and PyTorch to drive innovative products and operational efficiency.

My experience spans research, model deployment, and cross-functional collaboration with domain experts. I enjoy turning complex data into actionable insights and am eager to contribute to forward-thinking data science teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Research Assistant at Hong Kong Metropolitan University

December 1, 2023 - July 1, 2025

Developed CNN-LSTM models (TensorFlow, PyTorch) to analyze time-series kinematic data, achieving a 20% improvement in predictive accuracy—skills applicable to financial time-series forecasting. Designed experimental protocols to optimize data collection and processing, reducing inefficiencies—transferable to financial data pipeline development. Conducted statistical analysis and contributed to publications, showcasing ability to derive actionable insights from complex datasets.

Junior Research Fellow at Biomedical Engineering & Technology Innovation Centre, BETiC-GHRCE

July 1, 2023 - November 1, 2023

Designed and deployed deep learning models for dental disease detection using Python, TensorFlow, PyTorch, and Keras, leveraging computer vision techniques to enhance diagnostic precision. Collaborated with dental professionals to incorporate domain expertise, improving model accuracy and relevance, and worked with cross-functional teams to optimize performance and ensure high-quality data inputs. Developed a user-friendly web application for dental professionals, integrating AI models to streamline disease detection and diagnosis workflows.

Research Intern at University of Northern British Columbia

July 1, 2022 - May 1, 2023

Conducted an extensive literature survey to gain a comprehensive understanding of existing methodologies related to ground reaction force estimation and computer vision. Assisted in developing human detection algorithms using the Microsoft Kinect DK camera using C++ for accurate identification and tracking of human subjects. Conducted extensive experimentation to collect data on ground reaction forces using specialized equipment and sensors.