Ian Christopher B. de Jesus
Senior software engineer with 6 years of experience building products end to end, from infrastructure to shipped user-facing apps.
Currently building AI and agentic pipelines at Magic, where I automate client workflows like calls, emails, and research, and build systems that turn call transcripts into reviewable performance insights.
Also the founder of Tama Ba, a crowdsourced price-checking platform live on both the iOS App Store and Google Play.
Deep background in blockchain engineering, including a Bitcoin ordinals marketplace built on trustless PSBT trading .
Comfortable across Node.js, Python, Next.js, React Native, and cloud infrastructure on AWS and GCP. I tend to own the whole stack, including the parts nobody wants to touch.
REVIEWS FROM CLIENTS
Created Tama Ba, a crowd sourcing price check platform, allowing users to ask if they were fairly priced with a quoted good/service. <...
Created Tama Ba, a crowd sourcing price check platform, allowing users to ask if they were fairly priced with a quoted good/service.
Currently deployed in both ios app store and google play store. https://download.tamaba.cc to download and try it out
- Integrate generatitive AI in automating client requests such as phone calls, emails, and research
- Leverage agentic AI fra...
- Integrate generatitive AI in automating client requests such as phone calls, emails, and research
- Leverage agentic AI frameworks to improve efficiency of AI responses
- Built AI pipelines for reviewing call transcript for virtual assistants and clients for operations to easily understand and review call performance of sales and hiring personnel
- Architected and developed a complete ordinals marketplace end to end. Built the backend in Node.js and the frontend in Next.js.</...
- Architected and developed a complete ordinals marketplace end to end. Built the backend in Node.js and the frontend in Next.js.
- Deployed and maintained self-hosted Bitcoin infrastructure on a VPS. Ran a full Bitcoin node alongside an ordinals indexer node connected to a staging environment.
- Designed a trustless trading engine using Partially Signed Bitcoin Transactions (PSBTs). This removed the need for a custodial escrow or a third party to hold funds or assets.
- Implemented seller listings where the seller signs one side of a PSBT to list an ordinal. The transaction stays partially signed until a buyer completes it.
- Built an instant-buy flow. The buyer takes the seller's partially signed transaction, adds their payment inputs and outputs, signs their side, and broadcasts it to settle the trade atomically.
- Built a bidding flow on the same PSBT model. A buyer submits a signed offer, and the seller countersigns the matching side to award and finalize the sale.
- Handled low-level Bitcoin transaction construction, SIGHASH flag logic, and signature validation to keep every trade atomic and safe from partial execution.