Dhyey Mavani โ CTO
(+) ๐ ๐จ๐ฅ๐ฅ๐จ๐ฐ for latest and diverse perspectives on ๐๐, ๐๐๐ฎ๐๐๐ญ๐ข๐จ๐ง and ๐ ๐ฎ๐ญ๐ฎ๐ซ๐ ๐จ๐ ๐๐จ๐ซ๐ค! For speaking engagements, media, and business inquiries: ddmavani2003@gmail.com. Dhyey is driven by complex problems at the intersection of mathematics, computer science, statistics, and economics. His liberal arts foundation equips him uniquely to build innovative solutions, leveraging strategic thinking and deep technical expertise. A strategic thinker at heart, Dhyey excels in dissecting intricate problems and devising actionable solutions. He believes in the power of collaboration, cherishing partnerships with professionals from diverse backgrounds to produce outstanding results. He has built AI infra, models, and agentic product capabilities at ๐๐ข๐ง๐ค๐๐๐๐ง after short but formative stints as CDN engineer at ๐๐๐, and quantitative trader at ๐๐๐ฅ๐ค๐ฒ๐ซ๐ข๐. At LinkedIn, he delivered major LLM inference wins with speculative decoding, and significant GPU savings while pioneering LinkedIn's first Rust-based model serving engine for PyTorch Embedding Based Retrieval (EBR) models. He also integrated MCP into enterprise workflows that contributed to scalable model onboarding across Azure OpenAI and Kubernetes. He even proposed strategic ideas directly to CEO Ryan Roslansky, leading to cross-functional collaborations. He graduated from ๐๐ฆ๐ก๐๐ซ๐ฌ๐ญ ๐๐จ๐ฅ๐ฅ๐๐ ๐ with a ๐ญ๐ซ๐ข๐ฉ๐ฅ๐ ๐ฆ๐๐ฃ๐จ๐ซ in Computer Science, Mathematics, and Statistics, earning 2 ๐๐ฎ๐ฆ๐ฆ๐ ๐๐ฎ๐ฆ ๐๐๐ฎ๐๐ theses, along with induction to ๐๐ก๐ข ๐๐๐ญ๐ ๐๐๐ฉ๐ฉ๐ and ๐๐ข๐ ๐ฆ๐ ๐๐ข honor societies. His mathematical work includes building a Lean4-based machine-assisted proof framework for chip-firing and Graphical RiemannโRoch alongside a Python package for simulations (chipfiring), while his statistics thesis led to โccrvam,โ an open-source Python package for discrete copula modeling. He also completed six graduate-level math and statistics courses at ๐๐จ๐ฅ๐ฎ๐ฆ๐๐ข๐ in one semester and continues advanced computational mathematics studies at ๐๐ญ๐๐ง๐๐จ๐ซ๐. Outside the professional sphere, adventure calls out to Dhyey. Whether it's traversing new terrains, perfecting his archery shot, or engaging in a spirited badminton match, he's always up for a challenge. Other adventurous interests of Dhyey include jetskiing, ATV quad biking, and bungee jumping. ***Opinions, posts, and views expressed here are solely Dhyey Mavani's own and do not reflect that of his employers.***
Stackforce AI infers this person is a highly skilled AI and Machine Learning engineer with a strong focus on research and development.
Location: San Francisco, California, United States
Experience: 2 yrs 4 mos
Skills
- Artificial Intelligence (ai)
- Machine Learning
- Quantitative Research
- Software Development
- Data Analysis
- Research And Development (r&d)
Career Highlights
- Pioneered Rust-based model serving engine at LinkedIn.
- Developed open-source Python packages with significant downloads.
- Collaborated directly with CEO on strategic AI initiatives.
Work Experience
Machine Learning Engineer, Agentic AI (Special projects with C-suite) (1 yr 4 mos)
Software Engineer, Generative AI Inference (0 mo)
Software Engineer, GPU RAR (RecSys) (0 mo)
Valkyrie Trading
Quantitative Trader (0 mo)
Amazon Web Services (AWS)
Software Engineer (0 mo)
Various Companies
Fellow (list with details in description) (1 yr)
HP
Business Analyst & VC (0 mo)
Computer Science Research Mentee (CSRMP Fellow Class of 2022B) (0 mo)
Amherst College
Applied Researcher โ Computational Mathematics & Statistics (4 yrs 9 mos)
Education
Bachelor's degree at Amherst College
Visiting Students Program (Exchange Semester) at Columbia University
Study Abroad (Exchange Semester) at AIT-Budapest
NDO program (Sponsored by my employer) at Stanford University
Break Through Tech AI: Boston (Summer Extension Program) at Massachusetts Institute of Technology
Certificate in Advanced Software Engineering at CodePath
