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Aasutosh Verma

@aasutoshverma

Embedded systems and robotics engineer in independent R&D, prototyping robotic arms, IoT control nodes, and edge computer vision systems.

Nepal

Message

What I'm looking for

I’m open to R&D collaborations, hardware and AI projects, and roles in embedded systems, robotics, and computer vision.

Since October 2025, I’ve been conducting self-funded robotics and AI R&D, taking systems from research and hardware sourcing through circuit assembly, coding, and troubleshooting. My projects include robotic arm prototypes using high-torque servos and EMG sensors, as well as IoT monitoring nodes for agricultural and environmental applications.

At Vertex Special Technology, I worked on IoT and computer vision research. I also implemented OpenCV object detection and explored TensorFlow and PyTorch vision models for edge devices such as Raspberry Pi.

As a Computer Vision Engineer intern at Danson Solutions, I created an e-learning game for children using MediaPipe hand and finger tracking to control a snake. That project showed me how technology can support engagement when interaction feels natural to the user.

Experience

Work history, roles, and key accomplishments

Current

Independent Research & Development Engineer (Robotics & AI)

Current

Independent R&D

Oct 2025 - Present (1 year 1 month)

Engaged in the practical application of emerging technologies through self-funded research and hardware prototyping. My work focuses on the end-to-end implementation of systems where software meets physical machines. I manage the entire process independently: from researching specific algorithms and procuring hardware through personal earnings to circuit assembly, coding, and troubleshooting.
Tech

IoT and Computer Vision.

Vertex Special Technology

Apr 2025 - Nov 2025 (7 months)

Research on IOT Computer Vision projects.

Computer Vision Engineer

Danson Solutions

Sep 2024 - Nov 2024 (2 months)

Created an engaging e-learning game for children leveraging computer vision, utilizing the MediaPipe library for hand and finger tracking to enable index finger control of snake movement. Designed gameplay with edible (fruits) and non-edible (junk food) targets, featuring a three-life penalty system and Boolean-based negative scoring for non-edible items. Incorporated time-lapse challenges and sna