Robotics Engineer with 2+ years in Fault-Tolerant Control & Autonomous Systems
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PhD candidate in Electrical Engineering (Control Systems & Robotics) at Wright State University with a 4.0 GPA. My research focuses on fault-tolerant control of autonomous systems, currently developing robust camera-LiDAR control architectures for the QCar2 autonomous vehicle platform. I have hands-on experience commissioning and programming industrial robots (Franka Emika FR3, Universal Robots UR5), integrating Intel RealSense depth cameras for real-time pick-and-place, building conveyor-based vision sorting systems, and designing PLC/HMI programs using Allen-Bradley hardware. I possess a strong foundation in advanced control theory, electrical design, Python, and MATLAB/Simulink.
Wright State University
PhD · Electrical Engineering (Control Systems & Robotics)
August 1, 2024 – Present
Kathmandu University
Bachelor of Engineering · Electrical & Electronics Engineering
August 1, 2018 – June 30, 2023
Wright State University
Teaching Assistant - Industrial Controls & Automation Lab (EE 4120L/6120L)
January 1, 2025 – Present
Dayton, Ohio, United States
Wright State University
Teaching Assistant - Continuous Control Systems Lab (EE 4130L/6130L)
August 1, 2024 – December 31, 2024
Dayton, Ohio, United States
Wright State University
Teaching Assistant - Introduction to Robotics Lab (EE 4560L)
August 1, 2024 – December 31, 2024
Dayton, Ohio, United States
Wright State University
Graduate Researcher
August 1, 2024 – Present
Dayton, Ohio, United States
Wind Power Nepal
Electrical Engineer
June 1, 2023 – August 31, 2024
Kathmandu, Bagmati Zone, Nepal
Jade Consult Private Limited
Engineering Intern - Transmission Line Design
January 1, 2023 – February 28, 2023
Kathmandu, Bagmati Zone, Nepal
UAV LQR Autopilot + Extended Kalman Filter (MATLAB/Simulink)
January 1, 2025 – March 31, 2025
Designed LQR controllers for quadrotor UAV attitude, altitude, and position; linearized 12-state nonlinear EOM numerically; EKF sensor fusion eliminated ~30 deg drift seen in gyro-only approach.
Franka FR3 + Intel RealSense: Vision-Guided Pick-and-Place (Python/C++)
August 1, 2024 – Present
Full cell commissioning and deployment: 6-DOF pose estimation from point clouds, grasp sequence programming, and repeatable physical validation.
QCar2 Autonomous Vehicle: Fault-Tolerant Camera + LiDAR Control
August 1, 2024 – Present
PhD thesis project - developing and validating fault-tolerant vehicle control with automatic sensor-degradation detection; optimizing lane-keeping performance across varied environments in Python and MATLAB.
Conveyor-Based Automated Vision Sorting System (Python)
August 1, 2024 – Present
Closed-loop physical system: real-time depth-camera detection, object classification, and automated diverter actuation on running conveyor hardware.
Microcontroller-Driven MPPT System for PV Efficiency
September 1, 2022 – May 31, 2023
Designed and fabricated 33 uH inductor and buck-boost converter with full electrical calculations; validated MPPT algorithm in MATLAB — peer-reviewed publication at USC Conference 2023.
Power System Analysis Using ETAP
Unknown
May 1, 2026 – Present
EV Electronics
Coursera
May 1, 2026 – Present
Python
May 1, 2026 – Present
Electric Vehicle Design
Unknown
May 1, 2026 – Present
How to Write & Publish a Scientific Paper
Ecole Polytechnique
May 1, 2026 – Present
Load Flow Analysis for Scaling Electric Cooking in Nepal
16th Intl. Conference on Power System Technology, 2024
January 1, 2024 – Present
Microcontroller-Driven MPPT System for Enhanced PV Efficiency
USC Conference 2023
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's profile is an excellent cultural fit for a research-intensive or advanced development robotics engineering role. Their academic rigor, combined with extensive hands-on project experience across diverse robotics platforms (autonomous vehicles, UAVs, industrial manipulators), indicates a strong passion for the field and a continuous learning mindset. The involvement in publications and teaching roles further suggests a collaborative spirit and a desire to contribute to the technical community.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and diagnostic abilities through fault analysis in various systems. Their experience as a Teaching Assistant highlights excellent communication, instructional, and mentoring skills. The ability to commission complex robotic cells from scratch indicates a high degree of independence, meticulousness, and a proactive approach to engineering challenges. Their research background suggests a capacity for deep technical investigation and a structured approach to complex problems.