Sanketh Gonuguntla

AI Researcher

St Louis, Missouri, United States3 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Master's in AI with a focus on machine learning.
Research on infrared imaging and machine learning integration.
Entrepreneurial experience in launching an online business.

Stackforce AI infers this person is a skilled researcher in AI and machine learning with entrepreneurial experience.

Contact

sankethg2@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData Analysis

Other Skills

AlgorithmsAnalyticsArtificial Intelligence (AI)Artificial Neural NetworksAutomationAutonomous VehiclesBig DataC (Programming Language)Cascading Style Sheets (CSS)Coding ExperienceCommunicationComplex SystemsComputer ScienceComputer VisionConvolutional Neural Networks (CNN)

About

As a student at Saint Louis University, I am pursuing a master's degree in artificial intelligence, with a focus on machine learning and data science. I am passionate about applying my skills and knowledge to real-world problems and creating innovative solutions. Prior to joining SLU, I completed my bachelor's degree in electronics and communications engineering from Presidency University Bangalore, where I gained a solid foundation in programming, hardware, and software. I also obtained a certification in open source software development, Linux, and Git from Coursera, which enhanced my proficiency in using these tools for various projects. Additionally, I have explored my entrepreneurial spirit by launching a small online business that sells customized products. Through this experience, I have learned how to manage customer relations, marketing, and operations.

Experience

3 yrs 10 mos

Total Experience

3 yrs 10 mos

Average Tenure

3 yrs 10 mos

Current Experience

Saint louis university

2 roles

Research Assistant

Promoted

Jan 2024 – May 2024 · 4 mos

Dedicated researcher currently immersed in an intriguing project that involves the integration of infrared imaging with machine learning, focusing on real-time classification and sensor fusion. I am utilizing state-of-the-art techniques, including a spiking deep belief network, to enhance the analysis and interpretation of infrared data. Passionate about leveraging innovative solutions for real-world challenges, I am excited to contribute to advancements in technology and the field of imaging. Stay tuned for updates on the progress of this exciting research endeavor!

Infrared ImagingMachine LearningSensor FusionDeep LearningData Analysis