Krishna Sankar
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolKrishna Sankar is an SVP Distinguished Engineer specializing in AI, with 13 years of experience applying ML, NLP, and systems engineering to deliver mission-critical solutions in finance, automotive, and cloud infrastructure. Based in San Jose, he leads AI safety, red teaming and explainability initiatives at U.S. Bank and serves as PI for the NIST AI Safety Institute while contributing to OWASP’s LLM security guidance. His career blends deep research and hands-on delivery—building fraud detection, explainable loan underwriting, enterprise knowledge graphs, and autonomous vehicle decision stacks—while driving bank-wide AI strategy and MLOps. He pairs a rare mix of network/security background from Cisco and cloud-scale architecture experience with modern generative-AI guardrails, making him equally at home in protocol-level optimizations and model-risk governance. Known for teaching and writing, he often translates complex technical trade-offs into pragmatic, auditable systems that prioritize trust and regulatory alignment. An underappreciated thread in his work is applying game-theoretic and reinforcement-learning ideas to real-world orchestration and negotiation problems across domains.
13 years of coding experience
27 years of employment as a software developer
Master's/Bachelor's in Mechanical Engineering (Production) Production Engineering, Master's/Bachelor's in Mechanical Engineering (Production) Production Engineering at IndiaNanoDegree Deep Reinforcement Learning, NanoDegree Deep Reinforcement Learning at UdacityMaster’s Degree Computer Science, Master’s Degree Computer Science at University of Detroit MercyMaster of Business Administration (M.B.A.) Business Administration and Management, Master of Business Administration (M.B.A.) Business Administration and Management at University of MichiganProfessional Certificate Artificial Intelligence-NLP/NLU, Professional Certificate Artificial Intelligence-NLP/NLU at Stanford University
Github Skills (18)
python10
machine-learning10
deep-learning10
tensorflow10
r9
ml9
deep-neural-networks9
ai9
neural-network9
bookdown9
owasp8
security8
llm8
large-language-models8
genai7
Programming languages (5)
Github contributions (5)
turgunyusuf/GTC_2019_DRL_LAB
Jan 2019 - Mar 2019
Deep Reinforcement Learning Lab for GTC 2019
Contributions:28 commits in 1 month
deep-reinforcement-learning
xsankar/fdps-v3
Dec 2015 - Sep 2016
Contributions:13 commits, 12 pushes, 1 branch in 9 months
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