
suyash verma
@suyashverma
I build AI and computer vision systems that automate engineering workflows and improve inspection accuracy.
What I'm looking for
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
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
Data Structures and Algorithms (DSA), Computer Science
Completed a certification in Data Structures and Algorithms from GeeksforGeeks.
Udemy
Python for Computer Vision & Deep Learning, Computer Vision
Completed a certification in Python for Computer Vision & Deep Learning from Udemy.
Udemy
Retrieval-Augmented Generation (RAG), Artificial Intelligence
Completed a certification in Retrieval-Augmented Generation (RAG) from Udemy.
Availability
Location
Authorized to work in
Skills
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