Ehsan Totoni
Co-Founder and CTO @ Bodo.ai | AI and Data Infrastructure (Compilers, HPC, Database Internals, Open Source) | PhD, UIUC
- Role
- Co-founder and CTO at Bodo.Ai
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Ehsan Totoni
Accomplished technical leader with 10+ years of experience developing advanced compilers, HPC, and database core technologies for AI and data applications. Inventor of the first Python JIT compiler for automatic acceleration and scaling of Pandas/NumPy applications, achieving orders of magnitude performance improvements. Co-creator of open-source Numba’s auto-parallelization feature with millions of downloads. Proven track record of building and leading high-performance engineering teams, driving innovation from research to production, and delivering enterprise solutions for Fortune 500 companies.
Experience
Co-founder and CTO
May 2019 — Present · Pittsburgh, PA, US
Led technical vision and execution for deep tech data infrastructure startup (from research at Intel/CMU), scaling from inception to Series A and enterprise adoption• Secured $25M funding from top Silicon Valley VCs and enterprise contracts with Apple and US Government among others• Built and managed engineering team of 25+ talented engineers from top universities (CMU, UIUC, UC Berkeley among others) and mentored them to develop advanced technologies• Architected and developed first optimizing and auto-parallelizing Python JIT compiler generating distributed MPI binaries for Pandas/NumPy• Architected and developed high-performance distributed SQL engine with advanced query optimization, streaming vectorized execution and MPI parallelism• Created distributed DataFrame library as drop-in Pandas replacement with advanced query optimization, streaming execution and MPI parallelism• Drove open source contributions and integrations with Pandas, Numba, Apache Iceberg, and Apache Arrow
Education
Sharif University of Technology
BSc, Computer Engineering (Software)
2006 — 2010
University of Illinois Urbana-Champaign
PhD, Computer Science
2010 — 2014
Skills
- Mpi
- Software Development
- Python
- Latex
- Energy Efficiency
- Matlab
- C
- Programming
- Machine Learning
- High Performance Computing
- Computer Science
- Parallel Computing
- Performance Analysis
- Numerical Simulation
- Opencl
- Simulations
- Java
- Algorithms
- C++
- Distributed Systems
- Parallel Programming
- Cuda
- Heterogeneous Environments
- Linux
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