Help & Supportcareers@gravityer.com
Robotics Engineer with 2+ years in Fault-Tolerant Control & Autonomous Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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
Graduate Researcher
August 1, 2024 – 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
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.
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.
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.
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.
How to Write & Publish a Scientific Paper
Ecole Polytechnique
May 1, 2026 – Present
Python
May 1, 2026 – Present
Electric Vehicle Design
Unknown
May 1, 2026 – Present
Power System Analysis Using ETAP
Unknown
May 1, 2026 – Present
EV Electronics
Coursera
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.