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Sourav Sharan

@souravsharan

5 years of experience in training and deploying ML models at scale, Masters in Data Science at Uppsala University, Sweden

Sweden

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What I'm looking for

I seek roles where I can build and deploy efficient, interpretable ML systems, contribute to R&D, mentor teams, and work on impactful production-scale computer vision and multimodal projects.

I am currently pursuing a Master’s degree in Data Science at Uppsala University, with a specialization in machine learning and statistics. I bring with me 4 years of industry experience as a machine learning researcher, where I worked extensively on tasks in computer vision and natural language processing, including classification, detection, tracking, and named entity recognition (NER).

Throughout my professional journey, I have developed robust practical skills in designing and implementing end-to-end deep learning systems, leveraging architectures such as Convolutional Neural Networks (CNNs) and Transformers. My expertise includes hands-on experience with Python, OpenCV, PyTorch, and Linux, which I use to build scalable solutions.

Experience

Work history, roles, and key accomplishments

Machine Learning Consultant

Billion Hearts Software Technologies

Jun 2025 - Aug 2025 (2 months)

Designed and implemented computer vision and deep learning solutions for a photo-sharing app, optimizing models for production inference efficiency and improved user experience during a summer engagement.

Computer Vision Deep Learning Optimization PyTorch TensorRT Onnx MLOps

Machine Learning Engineer II

HyperVerge Inc.

Dec 2019 - Apr 2024 (4 years 4 months)

Led R&D of multi-modal Transformer architectures for NER (improving accuracy by 30%), optimized and deployed models used in 280M customer onboardings, and replaced OCR pipelines to boost accuracy by 10% while reducing GPU usage by 80%.

Transformers NER PyTorch TensorRT Data Pipelines Distributed Systems MLOps

Computer Vision Engineer

Crea.Vision

Aug 2018 - Mar 2019 (7 months)

Developed and deployed end-to-end employee monitoring systems, building deep learning models for face recognition, object detection, and multi-object tracking in workspace environments.

Face Recognition Object Detection Trackings Deep Learning OpenCV PyTorch Data Annotation

Education

Degrees, certifications, and relevant coursework

Uppsala University

Master of Science, Data Science (Machine Learning and Statistics)

2024 -

Activities and societies: Teaching Assistant for Programming (1DL042) and Computer Programming I (1TD433).

Pursuing a Master of Science in Data Science with focus on machine learning and statistics, including coursework in deep learning, statistical ML, optimization, and large language models.