Aryaman Sinha
Senior Software Engineer at MerQube
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAryaman Sinha is a Senior Software Engineer with eight years of experience building scalable data platforms, infrastructure, and AI-driven backend systems, currently contributing to MerQube. He previously advanced platform reliability and high-scale data pipelines at Observe.AI, moving from SDE I to SDE III while focusing on infrastructure optimization and enterprise-grade analytics. Trained at IIT Bhubaneswar (B.Tech Hons. in Electrical Engineering), he combines rigorous academic research—published work on adversarial defenses presented at IEEE ICORT 2023—with pragmatic engineering for production systems. Aryaman operates at the intersection of applied research and software delivery, favoring robust, testable designs and continuous R&D to bridge prototypes into reliable services. Based in Bengaluru, he brings a track record of shipping dependable systems that power AI products and an appetite for exploring computer vision and deep learning problems beyond core backend work.
8 years of coding experience
5 years of employment as a software developer
Class X, All India Secondary School Certificate, Central Board of Secondary Education (CBSE), Class X, All India Secondary School Certificate, Central Board of Secondary Education (CBSE) at Gwalior Glory High SchoolBachelor of Technology(Hons.), Electrical Engineering, Bachelor of Technology(Hons.), Electrical Engineering at IIT BhubaneswarClass XII, All India Senior School Certificate, Central Board of Secondary Education (CBSE), PCM, Class XII, All India Senior School Certificate, Central Board of Secondary Education (CBSE), PCM at Rishikul Vidya Niketan
Hindi, English
Github Skills (23)
adversarial-attacks10
defense10
unet-image-segmentation10
mnist-dataset10
temperature10
benchmarking9
semantic-segmentation9
segmentation9
jupyter-notebook9
keras8
security8
pytorch8
machine-learning7
multimodal7
robustness7
Programming languages (3)
Github contributions (5)
as791/Adversarial-Example-Attack-and-Defense
Aug 2020 - Dec 2020
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
Contributions:42 commits, 41 pushes, 1 branch in 4 months
mnist-datasetpytorch-implementationadversarial-attacksadversarial-defensemi-fgsm
as791/as791
Nov 2020 - Jul 2026
Contributions:33 pushes, 1 branch in 5 years 8 months
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