Summary
Jamal Hashim is a software engineer and startup leader with nine years of experience bridging research, product, and investment in blockchain and ML systems. As co-founder and Head of Engineering at Collective, he led a small team to build ingestion pipelines and data models capable of indexing over a billion NFTs and shipped a high-performance Flow marketplace explorer. He has hands-on experience with smart contracts, backend APIs, and scalable data architectures, and recently transitioned into ML systems research at Cornell, focusing on accelerating LLM tool calls, adapter composition, and pipeline handoffs. Jamal also evaluated technology risk and product scalability as an associate at Amaana Capital, translating technical due diligence into clear investment recommendations. Based in New York and currently pursuing an MS in Computer Science at Cornell, he combines founder-level product instincts with academic rigor—an approach that underpins both his startup exits and research-driven engineering.
10 years of coding experience
8 years of employment as a software developer
The Westminster Schools
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Cornell University