Founder at Save Forward
California, United States
Alfiia Latypova
Council Member
Alfiya Latypova is a Senior BI Data Engineer and technology entrepreneur with over a decade of experience in data engineering, business intelligence, and AI-driven social impact systems.
Since October 2022, Alfiya Latypova has served as Founder and Chief Technology Officer of Save Forward, a nonprofit organization originally launched as a social project in Russia and now incorporated in California. The organization applies artificial intelligence and data science to identify individuals at acute psychological risk, including those exhibiting signs of suicidal ideation on social media platforms. She architects the organization's AI systems and oversees its data science and machine learning processes. The work addresses a measurable public health gap: in the Sacramento area alone, approximately 92 individuals seriously consider suicide, yet only 15% receive any form of assistance. Save Forward's model aims to close that gap through technology-driven early intervention.
Alfiya Latypova has simultaneously held the role of Senior BI Data Engineer at Kaspersky Lab since October 2012, a tenure spanning more than thirteen years. Kaspersky Lab protects over 400 million users and 240,000 corporate clients globally, and her work has touched the full scale of that user base. She developed a machine learning and natural language processing system to analyze and cluster user support requests, determine user sentiment, and predict future requests for financial forecasting. The resulting autobot was presented at an international technology summit in Barcelona, Spain in 2015. She also designed approximately ten metrics to evaluate customer support quality across dimensions including engineer performance, customer satisfaction, and response time, deploying these metrics across 37 offices in 32 countries. This framework helped surface production errors and directly contributed to improvements in product quality and revenue. As part of Kaspersky Lab's membership in the TSIA benchmarking program, she collected and prepared support data for comparison against peer companies, with her research demonstrating that Kaspersky Lab maintained the lowest incident cost among comparable organizations — analysis that contributed to the company earning recognition as Best Support Team in North America. She also led data integration efforts as the company expanded technical support operations into Japan, Malaysia, and Brazil, establishing the data architecture for consolidating external support data via API and embedding it within existing performance metrics.
Since October 2022, Alfiya Latypova has served as Founder and Chief Technology Officer of Save Forward, a nonprofit organization originally launched as a social project in Russia and now incorporated in California. The organization applies artificial intelligence and data science to identify individuals at acute psychological risk, including those exhibiting signs of suicidal ideation on social media platforms. She architects the organization's AI systems and oversees its data science and machine learning processes. The work addresses a measurable public health gap: in the Sacramento area alone, approximately 92 individuals seriously consider suicide, yet only 15% receive any form of assistance. Save Forward's model aims to close that gap through technology-driven early intervention.
Alfiya Latypova has simultaneously held the role of Senior BI Data Engineer at Kaspersky Lab since October 2012, a tenure spanning more than thirteen years. Kaspersky Lab protects over 400 million users and 240,000 corporate clients globally, and her work has touched the full scale of that user base. She developed a machine learning and natural language processing system to analyze and cluster user support requests, determine user sentiment, and predict future requests for financial forecasting. The resulting autobot was presented at an international technology summit in Barcelona, Spain in 2015. She also designed approximately ten metrics to evaluate customer support quality across dimensions including engineer performance, customer satisfaction, and response time, deploying these metrics across 37 offices in 32 countries. This framework helped surface production errors and directly contributed to improvements in product quality and revenue. As part of Kaspersky Lab's membership in the TSIA benchmarking program, she collected and prepared support data for comparison against peer companies, with her research demonstrating that Kaspersky Lab maintained the lowest incident cost among comparable organizations — analysis that contributed to the company earning recognition as Best Support Team in North America. She also led data integration efforts as the company expanded technical support operations into Japan, Malaysia, and Brazil, establishing the data architecture for consolidating external support data via API and embedding it within existing performance metrics.
Prior to Kaspersky Lab, Alfiya Latypova worked as a Lead Engineer at Moscow United Energy Company (MOEK) from October 2010 to October 2012. There she analyzed business processes, system structures, and data flows to define IT requirements for the company's energy management systems, ultimately implementing SAP IS-U across several operational processes. Her work supported an organization serving 96% of Moscow's population and contributed to making thermal energy calculation more transparent while reducing operational costs. The implementation of SAP Utilities at that scale represented a first-of-its-kind IT project in the Russian heat energy sector. Her analysis of energy loss calculation between supply and distribution networks, as well as income shortfall calculations related to citizen benefits for thermal power marketing, formed the basis of her master's dissertation on improving energy service delivery through SAP IS-U.
In a volunteer capacity, Alfiya Latypova contributed four years to Greenpeace environmental efforts from 2012 to 2016, participating in reforestation initiatives to replace trees lost to beetle infestation. In early 2017, she participated in a Kaspersky-sponsored social campaign focused on animal welfare, producing a video about the adoption of homeless dogs that reached 2.3 million viewers.
She has served as a judge for the Life Style Evolution IAHD Hackathon and the AI-Powered Mental Wellness Support Chatbot competition, both in June 2024. She holds judging credentials from the Globee Awards for Technology (issued June 2024) and the Globee Awards for Cybersecurity (issued March 2026).
In a volunteer capacity, Alfiya Latypova contributed four years to Greenpeace environmental efforts from 2012 to 2016, participating in reforestation initiatives to replace trees lost to beetle infestation. In early 2017, she participated in a Kaspersky-sponsored social campaign focused on animal welfare, producing a video about the adoption of homeless dogs that reached 2.3 million viewers.
She has served as a judge for the Life Style Evolution IAHD Hackathon and the AI-Powered Mental Wellness Support Chatbot competition, both in June 2024. She holds judging credentials from the Globee Awards for Technology (issued June 2024) and the Globee Awards for Cybersecurity (issued March 2026).