Shubham Bhavsar

Software Engineer @ Timechain Labs

About

I work in building decentralized applications (DApps) on Ethereum Layer 1 and actively explore Layer 2 solutions for scalability and cost-efficiency. I've deployed smart contracts, including ERC20 and ERC1155 tokens, on Ethereum testnets, and participated in multiple Web3 hackathons and blockchain-focused events. With a strong passion for AI and prompt engineering, I constantly seek to integrate intelligent automation into decentralized ecosystems. My technical curiosity drives me to stay ahead by exploring zk-rollups, optimistic rollups, and next-gen Ethereum scaling solutions. Currently focused on contributing to real-world use cases through smart contract development, blockchain architecture, and seamless user experiences in Web3.

Country

India

City

Pune District

Industry

Information Technology & Services

Skill

Working With Clients, AWS CloudFormation, Coded UI Testing, Mobile Application Development, Svelte, GitHub, Front-End Development, Multi-task & Handle High-volume Workloads, Gitlab, RESTful architecture, Chrome DevTools, Web Applications, Web Languages, Agile Methodologies, Content Delivery Scalability, Program Deployment, Docker Products, REST APIs, Ticket Operations, Developer Tools

Experience

Software Engineer

Timechain Labs

2026-1 - Present · 9 mos

Hyderabad, Telangana, India

Frontend Developer

Timechain Labs

2025-6 - 2025-12 · 7 mos

Built pixel-perfect responsive pages and web apps from Figma designs; developed a reusable TailwindCSS component library that measurably reduced recurring UI bugs. Wrote automated tests using Mocha and Chai for SDK validation; collaborated with design and backend teams to ensure accurate, on-schedule feature delivery — leading to a full-time offer within 6 months.

Freelance Developer

2026-3 - Present · 7 mos

Worked across freelance projects, AI contributions, and open-source to deliver scalable web applications , Dapp, Mobile Application and improve system performance. Experienced in building APIs, fixing bugs, enhancing features, and optimizing applications. Contributed to AI model evaluation and prompt refinement while maintaining high-quality, production-ready code and clear client communication.