Tullie Murrell
Leading Applied AI Research · Whatnot
Founded Shaped (real-time relevance platform for marketplaces) after building ranking systems at Meta, Google, Uber, and Palantir. Now leads Applied AI Research at Whatnot working on live commerce marketplace ranking, consistently translating research into production systems across multiple consumer platforms.
Why: Strong match on production ML across consumer tech giants and founding engineer appetite (founded Shaped). Excellent vertical hopper (marketplace ranking across multiple platforms). Weaker on investor hybrid profile and CMU lineage, but core DNA of building scaled ranking systems is nearly identical.
Mahesh Pasupuleti
Senior Engineering Leader · Meta Superintelligence Labs
Engineering leader building AI safety and model behavior systems for frontier multimodal AI at Meta. Focuses on making frontier AI safe, reliable, and deployable at scale by building high-performing engineering and research teams to solve difficult problems.
Why: Exceptional match on multimodal AI and integrity/safety systems at scale. Strong production ML builder at Meta. Lacks the founding engineer track record and vertical hopping, and no investor profile, but the multimodal + safety focus is nearly identical to Aditya's work.
Xin Lu
Research Leader · TikTok
Builds and scales end-to-end AI systems from 0→1 innovation to production at scale. Currently leads multimodal generative AI at TikTok with 18+ years experience building production AI systems across consumer tech.
Why: Strong 0→1 builder with multimodal generative AI expertise at scale. Excellent production ML track record. Missing the investor profile and specific CMU lineage, but the core profile of building multimodal systems from scratch at consumer scale is very aligned.
Xiaoyu Miao
VP Engineering · Former Amazon Health AI
Built Amazon Health AI and was founding engineer on Google Glass. Specializes in zero-to-one technologies, products, and businesses across AI, software, and hardware with 16+ years experience building production systems.
Why: Excellent founding engineer appetite (Google Glass founding engineer, built Amazon Health AI). Strong vertical hopper (healthcare, consumer hardware, tech platforms). Production ML builder across giants. Weaker on multimodal content understanding specifics and integrity systems, no investor profile.
Bhagya Bethala
Head of Engineering, AI for Content Integrity · Meta
Engineering executive bridging foundational AI research and production systems. Currently heads AI for Content Integrity at Meta with 23+ years experience translating research into deployed systems at scale.
Why: Perfect match on content integrity focus and production ML at Meta. Strong on translating research to production. Lacks founding engineer track record and investor profile, but the integrity + content understanding combination at scale is highly aligned.
David Qorashi
Engineering Leader, Safety & Integrity · Ex-Meta
Led Trust & Safety and integrity teams at Meta for 6+ years across Threads, Instagram, and Facebook. Engineering leader dedicated to building safety and integrity systems that protect people at scale.
Why: Exceptional match on integrity and trust systems at Meta scale. Strong production ML across multiple Meta products. Missing investor profile and founding engineer emphasis, but the safety-critical AI systems focus is nearly identical to Aditya's integrity work.
Angela Bi
Head of AI Platforms · Healthcare & Life Sciences
Technology leader focused on applied AI, cloud platforms, and healthcare technology. Leads teams building ML infrastructure and data platforms used by healthcare organizations, researchers, and enterprise customers.
Why: Strong healthcare ML infrastructure builder, matching Aditya's healthcare ML lead experience. Good vertical hopper (healthcare + enterprise). Weaker on multimodal content understanding and integrity systems specifics, but the healthcare AI platform building is aligned.
Zhihao Li
Multimodal AI Search · Google DeepMind
Experienced applied ML engineer specializing in multimodal deep learning and computer vision. Expertise in AR applications, human pose estimation, and multimodal search at Google DeepMind.
Why: Excellent multimodal deep learning specialist at Google DeepMind. Strong production ML engineer. Lacks founding engineer track record, investor profile, and integrity systems focus, but the multimodal search and vision+language intersection is well-aligned.
