Manju Rajashekhar is a seasoned technology leader and founder with 13 years of experience building large-scale distributed systems, ML platforms, and two-sided marketplaces from early-stage startups to public companies. As co-founder of Blackbird AI (acquired by Etsy) and a long-time engineering leader at Etsy, he led Search, Ads, Recommendations and platform teams that materially increased Ads revenue and improved core relevance and personalization. Earlier, he helped scale Twitter’s caching infrastructure and authored industry-standard open-source projects like twemproxy and twemcache, which remain widely used today. He combines hands-on systems and algorithmic expertise (MS CS, Stanford) with GTM-oriented product leadership, incubating generative AI enablement and real-time graph retrieval at scale. Based in San Francisco, he now partners with startups and investors as an EIR and advisor while founding his next venture, bringing a rare blend of infrastructure craftsmanship and marketplace growth experience.
13 years of coding experience
16 years of employment as a software developer
Masters Computer Science, Masters Computer Science at Stanford University
A fast, light-weight proxy for memcached and redis
Role in this project:
Back-end Developer
Contributions:1 release, 198 commits, 38 PRs in 8 years 6 months
Contributions summary:Manju primarily contributed to the back-end functionality of the twemproxy project. Their work included improving the handling of Redis keys, adding comments for clarity, implementing a more accurate CRC32 algorithm, and encapsulating event abstractions like epoll. They also made changes to ensure that the codebase used the event_base in struct context and replaced the MD5 code with a more appropriate implementation. Furthermore, the user has improved the system's logging and incorporated tcpkeepalive.
Contributions:44 commits, 17 pushes in 7 years 8 months
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