Portfolio — Kathmandu, Nepal
Sabin Acharya
Electronics, Communication & Information Engineer | Robotics | Artificial Intelligence | Embedded Systems
Developing intelligent robotic systems through artificial intelligence, embedded computing, and autonomous perception.
Background
I am an Electronics, Communication and Information Engineer specializing in robotics, artificial intelligence, and embedded systems. My work focuses on developing intelligent autonomous systems by combining embedded computing, sensor fusion, computer vision, and machine learning to address real-world engineering challenges.
My research interests include intelligent robotic systems, autonomous multi-agent systems, swarm robotics, sensor fusion, embedded intelligence, and AI-driven perception. I am particularly interested in developing scalable and resilient robotic platforms capable of operating safely and autonomously in dynamic environments.
Alongside my research, I serve as a Teaching Assistant at Thapathali Campus, Institute of Engineering, where I conduct laboratory sessions and mentor undergraduate students. I also contributed as a Research Assistant on a government-funded intelligent transportation project, translating research concepts into practical engineering solutions.
Education
May 2021 — Aug 2025
B.E. in Electronics, Communication and Information Engineering
Thapathali Campus, Institute of Engineering, Tribhuvan University
Thesis: Enhancing Humanoid Robot Functionality through Vision-based Navigation with Fall Recovery and Object Manipulation.
May 2018 — Dec 2020
Secondary Level Education (10+2 / High School)
Canvas International Secondary School, Kathmandu, Nepal
Graduated with distinction in Science stream, focusing on Physics, Chemistry, Biology and Mathematics.
Where I've worked
Teaching Assistant
Dec 2025 — PresentDepartment of Electronics & Computer Engineering, Thapathali Campus, IOE
- Delivering lab sessions and tutorials for undergraduate courses in electronics and embedded systems and artificial intelligence.
- Assist course instructors with laboratory development, student evaluation, and practical coursework.
- Mentor undergraduate students in embedded systems, robotics, and interdisciplinary hardware-software integration projects.
Research Assistant — Smart Blind Curve Alert
Feb 2026 — May 2026Ministry-Grant Approved Research Project
- Contributed to a government-funded research project developing an early-warning alert system for blind curves on highways to reduce collision risk.
- Work on sensor integration, embedded firmware, and field-test data collection for the alert prototype.
- Collaborate with a small interdisciplinary team on system design, testing, and reporting to the project stakeholders.
Robotics Research Engineer — Humanoid Robot Development
Aug 2024 — Nov 2025Axis Tech Pvt. Ltd.
- Led the development of software and embedded firmware using ROS, implementing real-time perception and control pipelines
- Implemented computer vision modules using MediaPipe, FaceNet, CenterFace, and SORT for real-time multi-object detection and tracking.
- Integrated motors, sensors, and embedded peripherals with Raspberry Pi-based control systems.
Selected work
Design and Development of a Low-Cost Desktop Companion Robot with AI-Driven Human Interaction
AI-powered desktop companion robot for natural human-robot interaction through voice, vision, and intelligence. Combines robotics, artificial intelligence, and embedded systems to create an intelligent, interactive, and scalable personal assistant.
Smart Blind Curve Alert System
A ministry-grant approved research project building a low-cost early-warning system for blind curves on mountain highways, using embedded sensing (RADAR and Camera) and roadside alert units to warn oncoming drivers of vehicles they cannot yet see.
Enhancing Humanoid Robot Functionality through Vision-based Navigation with Fall Recovery and Object Manipulation
A bipedal humanoid robot integrating dual ESP32-CAM stereo vision, YOLOv11-based object detection, autonomous navigation, fall recovery, and robotic manipulation for hazardous and industrial environments.
Virtual Simulation of Hand Gestures using Hall Effect Sensors
A 3d printed hand glove with embedded Hall Effect sensors that detects hand gestures and transmits them to Unity-based virtual environment for real-time interaction, aimed at VR/AR applications and gesture-based control systems.
Writing & research
Toolbox
Embedded & Hardware
Programming & Tools
Signal Processing & Communications
Research & Professional Skills
Let's talk
Whether it's a teaching collaboration, a research opportunity, or a role where embedded systems and public-good engineering meet — I'd like to hear from you.