Sai Dantu
Senior Software Engineer at Replicant AI
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolSai Dantu is a Senior Software Engineer with six years of hands-on experience building production-grade full-stack systems, currently focused on AI-driven products at Replicant AI. He brings end-to-end expertise across Node.js, Python, React/TypeScript, Flutter, and cloud-native infrastructure (AWS, Docker, Terraform), having single-handedly built and scaled full-stack platforms in previous roles. His background blends mobile-first UX work for major US airlines with backend microservices that cut latency and payroll discrepancies, plus a knack for operational tooling like CI/CD and monitoring. Sai’s curiosity extends into ML/AI and data science—he has published research papers, contributed to open-source, and built a Linux distribution during an early internship. Comfortable making architectural trade-offs under production pressure, he pairs startup grit with formal Data Science training from IIITH. Colleagues describe him as a pragmatic problem-solver who turns ambitious side projects into tangible, deployable systems.
6 years of coding experience
4 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at International Institute of Information Technology Hyderabad (IIITH)Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Bharat Institute of Engineering & Technology
English, Telugu, Hindi
Stackoverflow
11reputation
2kreached
0answers
1question
Github Skills (137)
windows9
desktop9
android9
flutter9
mobile-application8
experiences8
react8
css8
ios8
sos8
macos8
cross-platform8
generative7
javascript7
classify7
Programming languages (15)
Github contributions (5)
Dantusaikamal/Dantusaikamal
Oct 2020 - Jul 2022
Copy this readme and paste it in your special repo :)
Contributions:41 commits, 26 PRs, 29 pushes in 1 year 9 months
special-repositoryspecial-repo
Dantusaikamal/Leaf-disease-identification
Oct 2020 - Mar 2025
A mobile application that uses an integrated machine learning model to identify and classify leaves based on their disease.
Contributions:1 release, 32 PRs, 36 pushes in 4 years 5 months
tensorflowjsintegratedmobile-applicationdeep-learningmachine-learning
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