Likhith S

Intern

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Strong foundation in software development and machine learning.
Hands-on experience with advanced driver-assistance systems.
Research on neural network dynamics and information theory.

Stackforce AI infers this person is a Software Engineer with a focus on AI and machine learning applications.

Contact

Skills

Core Skills

JavaSpring BootAdvanced Driver-assistance Systems (adas)TensorflowMedical ImagingObject DetectionInformation Theory

Other Skills

Scikit-LearnReact.jsNext.jsSupervised LearningApache SparkC (Programming Language)Deep Neural Networks (DNN)Computer VisionLong Short-term Memory (LSTM)Deep LearningTime Series ForecastingConvolutional Neural Networks (CNN)ESP32 MicrocontrollersArduino IDELangChain

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Acko

Software Development Intern

Jan 2026 – Present · 4 mos · Bengaluru · On-site

JavaSpring Boot

International institute of information technology bangalore

Summer Research Intern

Jun 2025 – Aug 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Advanced Driver-Assistance Systems (ADAS)TensorFlow

Rv university

Research Intern

Jun 2024 – Aug 2024 · 2 mos · Bengaluru, Karnataka, India · Hybrid

Project Title: Analyzing Neural Network Dynamics Through the Information Bottleneck
Description:
Explored the learning and generalization dynamics of neural networks using the Information Bottleneck framework.
Analyzed mutual information across network layers in models like LeNet-5 and VGG-16 on MNIST and CIFAR-10 datasets.
The findings highlighted IB's effectiveness in explaining deep learning processes and offered a basis for improving model evaluation strategies.

Information Theory