Open to opportunities

Manik Syangtan

@maniksyangtan

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Electronics & AI engineer building real-time ML-driven hardware solutions.

Nepal

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What I'm looking for

I want hands-on roles building embedded ML and robotics products in collaborative teams, with opportunities for technical growth and real-world impact.

I am an electronics, communication and IT engineer with hands-on experience building real-time machine-learning and embedded systems, from wearable sensor-based activity recognition to vision-guided robotics and full-stack student management applications. I led project teams to integrate sensors, microcontrollers, Raspberry Pi, and ML models into deployable prototypes, achieving notable results such as 83% accuracy for an SVM-based human exercise classifier and a working OpenCV-powered waste-collecting robot.

I combine strong programming (Python, C/C++), ML frameworks (scikit-learn, TensorFlow, Keras), and hardware integration (Arduino UNO, Raspberry Pi) with data engineering tools (PostgreSQL, MySQL, pyspark, Airflow) to deliver end-to-end solutions. I seek opportunities where I can apply embedded ML, robotics, and data engineering skills to build impactful products while continuing to grow through collaborative, hands-on projects.

Experience

Work history, roles, and key accomplishments

Undergraduate Student

Sagarmatha Engineering College

Apr 2021 - Apr 2025 (4 years)

Pursuing BE in Electronics, Communication and IT Engineering with 77.11% aggregate; achieved semester scholar distinctions and completed coursework in algorithms, AI, and big data. Led multiple hardware and ML projects including a HAR exergame achieving 83% SVM accuracy and a computer-vision water-cleaning robot.