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@usbank.com
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3 phones found area 408, 510, and 212
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Krishna Sankar is listed as SVP/Distinguished Engineer − Generative AI Red Teaming, Guardrails & Explainability @ U.S.Bank at U.S. Bank, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at usbank.com, phone signal with area code 408, 510, 212, and a matched LinkedIn profile for Krishna Sankar.
Krishna Sankar previously worked as SVP/Distinguished Engineer − AI at U.S. Bank and Postmaster General at Owasp Top 10 For Large Language Model Applications. Krishna Sankar holds Professional Certificate, Artificial Intelligence-Nlp/Nlu from Stanford University.
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AeroLeads found 1 current-domain work email signal for Krishna Sankar. Compare company email patterns before reaching out.
A Technologist with broader experience in AI, Data Science, Security and Networks. Working on building intelligence - may be even a JARVIS ! Love to write, teach and develop systems that deliver orders of magnitude business value
Listed skills include Distributed Systems, Big Data, Cloud Computing, Hadoop, and 45 others.
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Minneapolis, MN, US
o PI (Principal Investigator) for the NIST AI Safety Institute focussing on AI Red Teaming, Guardrailso Incubating Generative AI Guardrails, Augmentation & Explainability as well as LLM Red Teamingo Leading the E3 COE (Experimentation, Explainability & Ethics) incl Feature Store and MLOps o Previously part of the "fraud squad" team reporting chain to the.
Wakefield, Mass, US
Part of core team - Participating in v2 discussions; AI Red Teaming; Tracking LLM/generative AI Security/Safety/Trust developments and publishing newsletter
Gaithersburg, MD, US
Washington, DC, US
Interesting collaborative work on "A Practitioners Guide To Explainability" viz.,Framework & Best Practices on Explainability, Bias & Disparate Action Mitigation et al, with detours into Use Cases and Definitions
Cupertino, California, US
Scoring data from multiple sources incl chain transactions
o Autonomous Mobile Fleet Management Stack: Building Self Orchestrating Distributed Decision-Making System for Autonomous Smart City Mobility (people, vehicles and services in a grid world) & Negotiating AI using Reinforcement Learning and Nash Equilibriumo Deep Learning/ML models & AI for Autonomous driving [ https://youtu.be/BRxewhfJH6g ], Lane Detection.
Stealth Travel Startup: Building Recommendation of whom to meet, using social & interest graphs, time graph semantics for travel, NLP/DL & word2vec
Fremont, CA, US
Consulting: Data Science/Analytics Systems for Retail (Conn’s) – Credit Line Analysis, Next Purchase Prediction, Recommendation & Mailing List Analytics for Personalized consistent experience across channels w/ data driven automation
New York, NY, US
Increased the ability to sell more ads deterministically (forecasting, decision systems); nudged towards audience aware TV Ad Control Plane for I3 – Insights, Inference & Intelligenceo Decision Data Science: Analytics Dashboards for Platform Reach, Activity Inferences & Diagnostic Analytics, Ad Inventory Supply & Utilizationo Product Data Science.
Mumbai, Maharashtra, IN
Projects: Data Science of Recommendation (Australian Bank/Spark framework), Common Learning Framework for 2-way Inference/Recommendation Engine across consumer products (Pharma/J&J), Predictive Analytics (Engine Manufacturing/Cummins), Social Media Analytics (CPG/Pepsi, Answered “Who is an NFL Fan” based on Twitter/Datasift), Retail Analytics across.
Genetics/BioInformatics based Scientific/Consumer feature set, using Python, MongoDB & Javao Architecture, Design & Coding of SaaS application incl REST API stack, DevOps & ScrumMaster for the teamo Developed Python based blackboard framework for Recommendation Engine (BioInformatics) & Risk Rankingo Design, Deployment & Ops: Operational & Analytics.
Leading initial Engineering Team building a Big Data Platform for a combination of Scientific & Consumer feature sets in the genomic space
Mountain View, CA, US
o Architecture, Implementation & Devops for Cloud Object Store layer - 10X scaling to 10Billion objects & 10 PBo Object store security services – Encryption & Key Infrastructure with granular security layers o Project Lead/SSO/SAML SaaS Integration & other cloud security primitives o Writing code for parts of the distributed horizontally scalable.
San Jose, CA, US
o Project Lead/Infrastructure optimization across compute-storage-network for Hadoop Cloudo Hadoop job qualification & quantification (CPU Intensive (e.g Blast-P), I/O intensive (map processing, cell phone device logs et al)); Design for optimization of shuffle by using Top Of Rack storage nodeso Built CTO Big Data Cloud Concept Lab (C3L)with Cisco UCS.
US
* Startegic Architecture of wireless/fingerprint security products* Advise on pragmatic implementation of 802.1x, PKI and other security standards* We won one of the DEMO2006 INNY - INspiring INnovation awards!
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Krishna Sankar works for U.S. Bank.
Krishna Sankar is listed as SVP/Distinguished Engineer − Generative AI Red Teaming, Guardrails & Explainability @ U.S.Bank at U.S. Bank.
AeroLeads has found 1 work email signal at @usbank.com for Krishna Sankar at U.S. Bank.
AeroLeads has found 3 phone signal(s) with area code 408, 510, 212 for Krishna Sankar at U.S. Bank.
Krishna Sankar is based in San Francisco Bay Area, United States, United States while working with U.S. Bank.
Krishna Sankar has worked for U.S. Bank, Owasp Top 10 For Large Language Model Applications, National Institute Of Standards And Technology (Nist), Bank Policy Institute, and Amberoon Inc..
You can use AeroLeads to view verified contact signals for Krishna Sankar at U.S. Bank, including work email, phone, and LinkedIn data when available.
Krishna Sankar holds Professional Certificate, Artificial Intelligence-Nlp/Nlu from Stanford University.
Krishna Sankar is listed with skills including Distributed Systems, Big Data, Cloud Computing, Hadoop, Scalability, Saas, Java, and Analytics.
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