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Ishaan Gupta

Ishaan Gupta

Associate Principal Architect at Nagarro — ML & middleware-focused solutions

ishaangt
Gurugram, Haryana, India
Joined October 2025
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AI/ML Data Engineering
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VIT Bhopal Academics
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Summary

Technology architect and integration specialist: Ishaan has progressed through engineering levels at Nagarro (Staff Engineer → Senior Staff Engineer → Associate Principal Architect) and focuses on middleware, integration, and solution architecture (MuleSoft/Jitterbit area indicated in his public professional snippets). He appears to combine hands‑on engineering with technical leadership and delivery ownership. linkedin+1
Applied machine‑learning researcher in biomedical imaging: Ishaan pursued a PhD (2020–2024) focused on breast cancer detection using machine learning and has authored/co‑authored publications (including a 2022 IEEE conference paper and a 2024 CRC/Taylor & Francis chapter) applying ML methods to cancer detection tasks. google+2
Entrepreneur and student‑community leader: During university years Ishaan held leadership positions including President of GDG MAIT and early startup leadership (SimpliGrab), showing interest in building teams, community events, and founding/operating a product venture. weekday+1
Multidisciplinary early experience in design and web development: Earlier roles list senior graphic designer and web developer positions, indicating strong practical skills in visual design and front-end/web technologies alongside backend/integration and ML work. weekday+1

Work

Education

Projects

Writing

Advancements in breast cancer detection: Harnessing the power of machine learning for diagnosis

October 1, 2024

Book chapter (CRC Press / Taylor & Francis) co-authored with multiple collaborators, covering machine-learning models (Random Forest, XGBoost, KNN, logistic regression) and methodological considerations for breast cancer detection and diagnosis.

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Breast cancer identification using feature level fusion and hybrid GA-PSO optimized neural network

January 1, 2022

Conference paper describing a machine-learning approach for breast cancer identification using feature-level fusion and a hybrid GA-PSO optimized neural network (presented at the 2022 IEEE 6th Conference on Information and Communication Technology).

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Hobbies

Graphic design and visual media (After Effects, visual design) weekday

Web development and full‑stack projects (early web lead roles and personal projects) weekday+1