Manupati Ramana kumar
@manupatiramanakumar
Blockchain and full-stack developer building secure, scalable dApps and smart contracts.
What I'm looking for
I am a blockchain and full-stack developer focused on building secure, gas-efficient decentralized applications and smart contracts. I combine hands-on Solidity and PyTeal experience with full-stack JavaScript/TypeScript development to deliver end-to-end Web3 solutions.
My projects include on-chain notary systems, decentralized medical records, and auction protocols, where I emphasized user privacy, atomic transaction integrity, and robust access control. I have delivered production-ready frontends using Next.js and wagmi/viem and authored smart contracts using Hardhat and PyTeal.
In internships and hackathons I have led implementation and deployment efforts—automating CI/CD with Docker and GitHub Actions and reducing deployment errors dramatically. I also have experience building RESTful APIs, authentication flows, and scalable payment integrations.
I hold a B.Tech in Artificial Intelligence & Data Science and have published research on quantum-inspired deep learning. I seek opportunities to contribute to innovative Web3 teams that value security, privacy, and scalable decentralized architecture.
Experience
Work history, roles, and key accomplishments
Full Stack Developer
YEBSYS
Sep 2024 - Dec 2024 (3 months)
Engineered and launched a scalable payment platform using Next.js and TypeScript to process UPI and card transactions and automated deployment pipelines with Docker and GitHub Actions, reducing manual deployment errors by over 90%.
Blockchain Developer
Independent Projects
Architected and developed multiple decentralized applications including an on-chain digital notary (VeriStamp) and auction dApp, building Solidity and Pyteal smart contracts and integrating client-side gas-efficient hashing and Web3 storage solutions.
Education
Degrees, certifications, and relevant coursework
Dhanalakshmi Srinivasan University
Bachelor of Technology, Artificial Intelligence & Data Science
Grade: 7.69/10
Activities and societies: Published research in IJARIIT; winner, DSU Hack-O-Verse 2024; 3rd place, AlgoBharat Hackathon; invited to Algorand Summit 2023.
Completed a B.Tech in Artificial Intelligence & Data Science with a CGPA of 7.69/10 and a publication on quantum-inspired deep learning for financial data.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
ramanakumar-portfolio.vercel.appJob categories
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