Vinat Goyal
@vinatgoyal
Computer Vision Engineer with a passion for AI and data analysis.
What I'm looking for
As a highly motivated and detail-oriented computer vision engineer, I leverage my expertise in machine learning and deep learning to develop innovative solutions. With a strong foundation in computer science and engineering, I have a proven track record of optimizing systems and improving efficiency.
My experience in developing and optimizing gun detection systems for video surveillance has equipped me with the skills to tackle complex problems. I am well-versed in creating synthetic datasets, conducting experiments, and optimizing models for real-world applications.
I am passionate about staying updated with the latest advancements in AI and machine learning, and I am excited to contribute to projects that drive meaningful impact.
Experience
Work history, roles, and key accomplishments
Computer Vision & AI Engineer
Strayos
Feb 2025 - Present (9 months)
Led annotation and vision pipeline for rutting, berm, and spillage detection. Trained a SegFormer for haul-road segmentation (IoU 0.78, F1 0.86) on orthophotos. Boosted rock fragmentation speed 30% via ONNX conversion and pipeline optimization. Built RAG-based LLM (LangChain) to summarise error logs, cutting debug time.
Developed and optimized gun detection system for video surveillance focusing on enhancing accuracy and efficiency.
Data Science Intern
Munich Reinsurance
Aug 2022 - Jan 2023 (5 months)
Developed DocNet, a multimodal deep-learning architecture for the task of Document classification.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology
BTech, Computer Science and Engineering
2019 - 2023
Grade: 8.5
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
scholar.google.com/citationsSocial media
Job categories
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