Sarthak Gupta
AI Software Engineer at SAP
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolSarthak Gupta is an AI software engineer and product-focused technologist with nine years of experience building production ML systems and consumer-facing products, currently working on Generative AI foundations at SAP. He blends rigorous software engineering—demonstrated by contributions to the large OpenGenus/cosmos repository where he implemented a neural network from scratch—with product leadership from roles at MakeMyTrip and as co-founder of FuncBox. A Carnegie Mellon MS candidate specializing in product management and software engineering, Sarthak has improved dynamic pricing, ETL workflows, and stakeholder-driven roadmaps across startups and enterprises. He also brings proven organizational leadership from his presidency at ACM-VIT, where initiatives he led grew membership threefold, and practical analytics/tooling skills spanning A/B testing, Figma, Tableau, and SDLC. Based in Sunnyvale, he pairs hands-on ML and backend expertise with a product-first mindset and a knack for turning research prototypes into usable features.
9 years of coding experience
4 years of employment as a software developer
BTech - Bachelor of Technology Information Technology, BTech - Bachelor of Technology Information Technology at Vellore Institute of TechnologyMaster of Science - MS Software Engineering Management, Master of Science - MS Software Engineering Management at Carnegie Mellon University
English, Hindi
Github Skills (10)
neural-network10
machine-learning10
python10
numpy10
data-structure9
data-structures9
artificial-intelligence8
algorithms7
sorting-algorithms5
algorithm5
Programming languages (7)
Github contributions (5)
OpenGenus/cosmos
Oct 2017 - Oct 2017
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 5 PRs in 1 day
Contributions summary:Sarthak contributed significantly to building a neural network from scratch within the repository. Their work involved implementing the `neuralnetwork.py` module, which included forward and backward pass calculations, different activation functions (sigmoid, softmax, relu, tanh), and error calculation methods. They also made improvements to the training and accuracy check functions. Furthermore, the user efficiently refactored the mini-batch implementation.
datastructuresinternshipcontributordatasetopengenus
sar-gupta/sar-gupta.github.io
Mar 2019 - Jun 2019
https://sar-gupta.github.io
Contributions:6 commits, 5 pushes, 1 branch in 2 months
reacttypescriptsargupta
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