Prasanna Balaprakash
Bridging Silicon and Software for Enterprise AI
- Role
- Co-founder and CEO at Stealth AI Startup
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Prasanna Balaprakash
Co-founder & CEO at Stealth AI Startup, building next-generation hardware, application, cost-aware enterprise AI solution. Former Director of AI at Oak Ridge National Laboratory and Team Lead at Argonne National Laboratory; Led research efforts at Oak Ridge in launching transformational AI model consortium (ModCon), which is a basis for DOE Genesis Mission to accelerate science through AI; helped to secure $200M+ in research portfolios and led 50+ researchers across breakthrough projects—including the first trillion-parameter AI model training on the world\'s fastest supercomputer (87% GPU efficiency on Frontier) and ORBIT, a 113-billion parameter climate foundation model (ACM Gordon Bell Prize Finalist 2024, 2025). Two decades of experience scaling AI systems from fundamental research to real-world deployment, with strategic partnerships across AMD, NVIDIA, Microsoft, OpenAI, and Google. Co-creator of DeepHyper and ytopt, open-source platforms used across national laboratories to optimize AI/ML workflows on advanced hardware.
Experience
Co-founder and CEO
Nov 2025 — Present · San Francisco, CA, US
Education
Vinayaka Mission's Research Foundation - University
Bachelor of Engineering, Computer Science and Engineering
1998 — 2002
Université libre de Bruxelles
Doctor of Philosophy in Engineering Sciences, Computational Intelligence, Stochastic Combinatorial Optimization
2004 — 2009
Otto-von-Guericke University Magdeburg
Master of Science, Computer Science
2002 — 2004
Université libre de Bruxelles
Master of Advanced Studies (Diplôme d'Etudes Approfondies en Sciences Appliquées), Computational Intelligence and Swarm Intelligence
2004 — 2005
Skills
- Monte Carlo Simulation
- Modeling
- Optimization
- Algorithms
- Artificial Intelligence
- Machine Learning
- Statistics
- Data Mining
- Information Retrieval
- Data Structures
- R
- Simulation
- Genetic Algorithms
- Algorithm Design
- Operations Research
- Probability
- Statistical Modeling
- Simulations
- Optimizations
- Mathematical Modeling
- Computer Science
- Programming
- Distributed Systems
- Big Data
- Scientific Computing
- Parallel Computing
- Latex
- High Performance Computing
- Numerical Analysis
- High Performance Computing (Hpc)
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