Kaivan Shah
Co-Founder at Applied Bell Curve
Ahmedabad, Gujarat, India
Summary
👤
Senior🎓
Top SchoolKaivan Shah is a software engineer and founder with 8 years of experience building scalable, cost-conscious systems and product features that drive measurable business impact. After contributing to promotions, customer experience, and data warehousing optimizations at Amazon—where his work improved customer satisfaction, reduced support contacts, and cut recurring costs—he co-founded Applied Bell Curve to help B2B clients optimize purchase management and production planning. He combines hands-on engineering with product-first thinking, translating operational pain points into automated, efficiency-boosting solutions. Based in Ahmedabad, he brings a practical mix of cloud and backend expertise and a track record of shipping features that directly increase conversion and visibility. Notably, his background blends large-scale e-commerce rigor with startup agility, enabling tailored, data-driven optimizations for growing businesses.
8 years of coding experience
3 years of employment as a software developer
BTech - Bachelor of Technology Computer Engineering, BTech - Bachelor of Technology Computer Engineering at CHARUSATHigher secondary Science, Higher secondary Science at GLS University
English, Hindi, Gujarati
Stackoverflow
3reputation
2kreached
1answer
2questions
Github Skills (59)
pytorch10
translation10
converter10
data-science9
python9
machine-learning9
abstraction9
zeplin9
tensorflow9
amazon9
deep-learning9
adobe-xd9
kaggle8
jax8
amazon-web-services8
Programming languages (5)
Github contributions (5)
Nexus-Optima/Module-Forecasting
Sep 2023 - Jul 2024
Backend part for the industry 4.0 analytics tool
Contributions:30 reviews, 58 PRs, 81 pushes in 9 months
kaivan-s/Chatbot
Mar 2018 - Dec 2019
This is a chatbot created with deep learning and natural language processing, learning from the experiences that is what this chatbot does !!
Contributions:11 commits, 3 PRs, 9 pushes in 1 year 9 months
nlpdeep-learninglanguage-processingwhat-is-thisconversation
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