arushi_garg
Machine Learning Engineer at IGDTUW
Delhi, Delhi, India
Summary
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RockstarArushi Garg is a full-stack Software Development Engineer at Adobe with four years of experience building scalable APIs, backend systems, and data-driven solutions for the AdCloud/DALP advertising stack. She combines a strong engineering foundation from IGDTUW (B.Tech, 9.02 CGPA) with hands-on cloud and backend tooling—Kubernetes, Kafka, Bazel, MariaDB—and has shipped features across mobile and DSP insights projects. Passionate about AI and deep learning, Arushi has co-authored seven research papers (IEEE/Springer) on topics from NLP to lung cancer classification and received a Research Excellence Award presented by the Education Minister. Beyond product work, she founded her campus AWS Cloud Club, mentored students in AI/ML programs, and managed community initiatives like GSSoC, demonstrating a bias for teaching and scaling technical knowledge. She’s equally comfortable prototyping ML models (transfer learning, VGG16, LSTM) and productionizing APIs, making her a bridge between research and engineering. Reach out to discuss AI research, cloud-native systems, or full-stack challenges—she genuinely enjoys mentoring and technical storytelling.
5 years of coding experience
Github Skills (35)
algorithm10
face-detection10
algorithms10
opencv10
html5-canvas10
python10
animation10
java10
api10
boostrap10
face-recognition10
postman10
cpp10
3d-reconstruction10
dsa9
Programming languages (6)
Github contributions (5)
GDSC-IGDTUW-Autumn-of-Code-2022/ML-projects-2023
Nov 2022 - Dec 2022
Contributions:13 reviews, 20 commits, 17 PRs in 1 month
072arushi/IEEEHacks_DSA
Nov 2022 - Nov 2022
Contributions:54 reviews, 39 commits, 41 PRs in 8 days
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