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suyash vermaSV
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suyash verma

@suyashverma

I build AI and computer vision systems that automate engineering workflows and improve inspection accuracy.

India
Message

What I'm looking for

I'm looking to build impactful AI, machine learning, and computer vision systems, especially products that automate complex engineering workflows and solve practical industrial problems.

I'm building AI and computer vision systems for the General Motors project via TCS, including an attention-based U-Net that improved validation IoU from 0.72 to 0.81 while adding only 0.1% parameters.

I built ModeSense, an eight-agent orchestration platform using LangGraph, FastAPI, and React that reduced manual engineering workflow runtime by 85%. I also developed asynchronous HPC integration, graph-based mesh hotspot clustering, and self-healing solver workflows.

I've developed industrial defect-detection pipelines with YOLOv11 and OpenCV, and supported 3D CT-to-2D X-ray registration using SIFT, FLANN, RANSAC, and SSIM. I bring strong algorithmic foundations, reinforced by solving 750+ DSA problems.

Experience

Work history, roles, and key accomplishments

GT
Current

AI / ML Engineer

General Motors Project via TCS

Sep 2024 - Present (2 years)

Retrofitted a standard U-Net with an Additive Attention Gate mechanism, increasing validation IoU from 0.72 to 0.81 with only a 0.1% increase in parameter count. Designed a hybrid BCE + Dice loss function to address foreground class imbalance and optimized training using Automatic Mixed Precision for a 2x speedup.

Education

Degrees, certifications, and relevant coursework

GeeksforGeeks logoGE

GeeksforGeeks

Data Structures and Algorithms (DSA), Computer Science

Completed a certification in Data Structures and Algorithms from GeeksforGeeks.

Udemy logoUD

Udemy

Python for Computer Vision & Deep Learning, Computer Vision

Completed a certification in Python for Computer Vision & Deep Learning from Udemy.

Udemy logoUD

Udemy

Retrieval-Augmented Generation (RAG), Artificial Intelligence

Completed a certification in Retrieval-Augmented Generation (RAG) from Udemy.

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