Aniket Gupta

Associate Partner

Stanford, California, United States3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led AI integration projects at Samsung Electronics.
Developed innovative gesture recognition algorithms.
Specialized in generative AI at Stanford University.

Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on Consumer Electronics and Blockchain.

Contact

Skills

Core Skills

AndroidMachine Learning

Other Skills

AI ModelsAlgorithmsBack-End Web DevelopmentBlockchainCC++CUDACommunicationData StructuresDistributed SystemsFull-Stack DevelopmentGame TheoryGoHaskellJava

About

I’m a Computer Science graduate student at Stanford University (Class of ’27), specializing in Artificial Intelligence. With a foundation in both systems and ML, I previously led projects at Samsung Electronics and slice, including integrating AI models into the Android service layer and developing a linear time touch gesture recognition algorithms. A proud IIT Kanpur alum, my journey spans hands-on product engineering, research collaborations at the University of Washington, and driving fintech innovation at a unicorn start-up. At Stanford, I’m deep-diving into generative AI and robust systems, passionate about bridging the latest research with impactful real-world applications. I’m open to advanced roles in Machine Learning, Systems, and AI research—focused on shaping technology that improves human life at scale.

Experience

Slice

AVP - Strategy and Operations

Apr 2024 – Jun 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India

Samsung electronics

2 roles

Software Engineer

Sep 2021 – Mar 2024 · 2 yrs 6 mos · South Korea · On-site

Single handedly managed the development and maintenance of the touch-based input kernel drivers for flagship as well as non-flagship devices.
Restructured the Android service layer to be capable of processing inputs from multiple touch-screen panels simultaneously.
Independently developed linear time algorithms to recognize several gestures from the input matrix pipe-lined all the way from the kernel to service layer of Android architecture, whilst adding support for some AI-based models to run there as well.
Comprehended the working of Android HAL by understanding its various interfaces and converting the existing obsolete HIDL based HAL to and AIDL based HAL

Kernel DriversAndroidAI ModelsAlgorithmsMachine Learning

Software Engineer Intern

May 2020 – Jun 2020 · 1 mo · Suwon, Gyeonggi, South Korea

During this internship, I gave 5 new accessibility features that can be implemented in android phones.
Later provided the data/control flow details, limitations, pros/cons, and related patents for 2 chosen features.

University of washington

Research Engineer

May 2019 – Jun 2019 · 1 mo

I worked with Prof. Sreeram Kannan on an ongoing project on Blockchains. During this intern I understood various aspects of the research paper we were working on, and implemented several aspects of it such as sharding to our existing Blockchain system. And also came up with certain algorithms to solve various problems that came up during testing of the implementation.

Indian institute of technology, kanpur

Web Developer

May 2018 – Jul 2018 · 2 mos · Kanpur, Uttar Pradesh

I worked in a team of 5. In this intern we created a web app which will make your grocery shopping easier. You may simply select the items you need to buy, then we will provide you with the shortest route path, the cheapest path, and a combination of two, for you to complete your shopping. During your journey we guide you that what you need to buy at a particular shop