AI Engineer & Researcher | Bridging Physics & Artificial Intelligence

Professional Profile

Gesit Tali Singgih

@entropicEm

AI Engineer and Researcher with expertise spanning physics, high-precision optical systems, and cutting-edge artificial intelligence.

My multidisciplinary background bridges the gap between fundamental science and practical AI implementation. With experience building complex systems from hardware to high-level abstractions, I bring a unique perspective to solving challenging problems in machine learning, computer vision, and intelligent systems design.

Currently focused on advanced multimodal AI architectures, hardware acceleration techniques, and in depth neural network behavior. I maintain active engagement with the latest research while delivering production-ready solutions across diverse technical domains.

Research Focus

Multimodal AI Systems

Developing next-generation AI architectures that seamlessly integrate visual, textual, and sensory data streams.

Hardware-Software Co-Design

Optimizing AI inference pipelines through low level hardware optimization (SASS, PTX, and SIMD) and algorithmic innovations.

Computational Science

Understanding the behavior of complex systems through mathematical modeling and simulation.

Technical Expertise

AI & Machine Learning

Deep Learning Research
Computer Vision
CUDA Programming
Neural Architecture Design

Systems & Hardware

Embedded Systems
Electronics Design
Optical Systems
Linux Kernel

Programming

C/C++
Rust
Python
JavaScript
GPU Assembly (PTX, SASS)
CPU Assembly, SIMD Instruction

Scientific Computing

Mathematical Modeling
Physics Simulation
Data Analysis
Statistical Methods

Available for consulting on AI research, system architecture, and technical leadership opportunities. Open to discussing innovative projects at the intersection of physics and artificial intelligence.

ai@entrosystem.com