Kamiar Kordari
Chief AI Officer @Spren (VC-Backed AI startup) | 2 Startup Exits | Startup Investor (6 unicorns, 2 IPOs) | Subscribe to my Generative AI Newsletter
Washington DC-Baltimore Area
Invests in
Sectors:
Locations:
Min Investment:
$100,000.00Max Investment:
$300,000.00Target Investment:
$150,000.00
Skills
Education
- Uo
- SU
Lists including Kamiar
Investments
FarmWise
Total Funding: $36M
StratiFi
Total Funding: $7M
Elroy Air
Total Funding: $56M
Wove
Total Funding: $12M
Lambda School
Total Funding: $160M
Akash Systems
Total Funding: $21M
Usermind
Total Funding: $85M
Finexio
Total Funding: $80M
NewtonX
Total Funding: $50M
IDbyDNA
Total Funding: $29M
Work Experience
2020
Chief AI Officer
2021
Lead the AI innovation for the Spren App listed at #162 in the Fitness & Health category on the App Store's Top Charts (Spren app) and the #1 app for HRV with Elite HRV app.
VP of AI and R&D
2020 - 2021
Elite HRV built a Heart Rate Variability (HRV) device, app, and data analytics platform that is trusted by more than 1,000,000 users in 70+ countries and is used by doctors, coaches, pro athletes, olympians, health/peak performance seekers, etc. Elite HRV probably has the largest HRV dataset in the world. There are tremendous opportunities to apply AI and machine learning to unlock many commercial use cases based on HRV to help improve people's health, wellbeing, performance, and quality of life.
2017
Syndicate Lead
2020
I launched my investment syndicate to invest in startups with truly new and innovative ideas.
Angel Investor
2017
Investing in early stage and high growth startups. I have invested in 70+ startups including 2 IPOs and 6 unicorns. I have been fortunate to back numerous startups that are disrupting their space through innovation. Subsequent to my initial investment, these startups went on to close substantial financings from top institutional investors such as Andreessen Horowitz, Google Ventures, Founders Fund, and Khosla Ventures, as well as strategic corporate investors such as Chevron Technology Ventures and Comcast Ventures.
2017
Managing Director
2017
Investment in private and public markets
2015 - 2017
CTO & Co-Founder
2015 - 2017
Built a platform for automatic/robotic collection and processing of data from buildings by using drones, computer vision, and mapping algorithms
2008 - 2015
Lead R&D Engineer, Principal Investigator
2008 - 2015
TRX Systems (acquired by ACR Group) develops products that deliver location indoors and in areas where GPS is not reliable or available. Lead development of a new product for mapping and localization with $1.6M grant from NSF (served as the Principal Investigator) by using SLAM and sensor fusion of GPS and INU, WiFi, and RF measurements and applying Kalman, Particle filters, and machine learning Lead development of an intelligent transportation system under a $600K contract with the US Department of Transportation for the development of an accessible navigation system by using computer vision and deep learning 13 patents granted in mapping, localization, and sensor fusion (with 370+ citations) Received awards including $500K Global Security Challenge 1st place award by the Department of Homeland Security (2008), Tibbetts Award from The U.S. Small Business Administration (2012), Edison Silver Award (2015), Red Herring Top 100 (2014)
Technology Transfer Committee Board Member
2011 - 2012
Helped start-ups founded by faculty or students with strategies to transfer scientific and technological research into viable products and businesses.
2003 - 2008
Research Engineer
2003 - 2008
Techno-sciences (acquired by McMurdo) is an advanced technology development company and global leader in search and rescue satellite aided tracking. Developed a sensor fusion (of radar, AIS, camera, and GPS measurements) and anomaly detection algorithm for a maritime remote sensing and surveillance system contracted by the US Navy for $100M+ to enhance detection, tracking, and monitoring of vessels passing through the 500-mile Strait of Malacca in Indonesia. Used Machine Learning to develop predictive and preventive maintenance solutions for a manufacturing/industrial application for US Mint to increase efficiency and reduce operation costs and downtime. Developed a prototype for a navigation unit based on time series analysis of sensor data and using optical flow tracking from video camera.
2001 - 2007
Graduate Research Assistant
2001 - 2007
As a member of the "Smart Dust" project, I conducted research in a multi-disciplinary project to develop algorithms for estimation, classification, and localization tasks in self-organizing wireless sensor networks I also taught a course in Numerical Techniques in Engineering.
2002 - 2002
Control Systems Engineer
2002 - 2002
I developed 1) a software for designing controllers for Dupont's "Control and Dynamic Systems" division to facilitate the design of industrial Model Predictive Controllers (MPC) 2) a software to pull real-time data from one of DuPont’s manufacturing lines and perform data analysis. DuPont is a fortune 100 company and the world's third largest chemical company.