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Click here or scroll down to respond to this candidateCandidate's Name
LinkedIn: @Candidate's Name Phone: PHONE NUMBER AVAILABLE Email:EMAIL AVAILABLEStriving to fix real-time problems with my skills. EDUCATIONMaster of Engineering (PMRO) Robotics Engineering Jan 2022 - May 2024 University of Maryland - College Park (Expertise in Robotics Perception, Path Planning, Control, Software Design) Bachelor of Technology (B.Tech.) Electronics and Communication Engineering Aug 2016 - Aug 2020 GITAM University - (Embedded Systems, IoT, Signal Processing, Networking, Electronics Architecture & Protocols) EXPERIENCESystems Research Engineer The United States Naval Air Warfare Center Aircraft Division (NAWC-AD) Institute for Systems Research, University of Maryland - (Full Time) Jan 2024 Present Working for the US Navy under the direction of Dr. Jeffrey Herrmann, currently responsible for designing and developing an advanced prototype for NAWC-AD, focusing on aircraft engine lifecycle and maintenance, resulting in a 35% increase in predictive accuracy for engine retirements. Tasked with integrating and analyzing complex datasets to predict aircraft engine retirements, improving maintenance scheduling efficiency by 45% and extending engine life by 10%. Graduate Research Intern Bio-Imaging and Machine Vision Lab, University of Maryland Sept 2022 Dec 2023 Developed an automated vision-guided crab meat picking system using UR10e, boosting efficiency by 40% through intuitive Polyscope programming. Integrated advanced vision systems for autonomous selection and sorting, and led the mechanical design of custom tooling, enhancing handling accuracy by 35%. Utilized built-in functions like Waypoints, MoveJ, and MoveL for precise path planning and movement optimization. Implemented advanced methods for tool calibration, workpiece positioning, and error handling, increasing system reliability by 25%. Conducted extensive simulations and live trials, improving processing speed by 20%. Enhanced hardware development, sensor data acquisition, and model training for greater accuracy. Graduate Research Assistant Mo-T Lab, Aerospace Engineering, University of Maryland. Dec 2021 Sept 2022 Conducted research under Dr. Michael Otte on motion and task planning algorithms for US Military swarm robots. Developed the Spatial Division Playbook Algorithm and the Traveling Salesman Playbook Algorithm, enhancing efficiency by 30%. Conducted 3,600+ experiments comparing with four state-of-the-art methods, achieving 25% faster task completion in low communication scenarios with probabilities as low as 0.01. Co-authored and published a paper in prestigious IEEE Access on decentralized task allocation for environments with stealth operations. Demonstrated through simulations and statistical analyses that our algorithms reduce task completion time by 35%, advancing multi-agent coordination in challenging scenarios. Robotics Instructor Skyfi Labs & SURE Trust Apr 2020 - Dec 2021 Instructed students and professionals globally in Robotics, ROS, Embedded Systems, and IoT Technologies, designing and developing innovative project-based curricula. Conducted research and developed software components for advanced robotics projects, focusing on creating reusable and efficient code for sanitizing robots. Full Stack Developer AP Innovation Society May 2019 - Aug 2020 Worked as a Project Team Lead on a Patent Product (Provisional Patent IPFC/2018-2019). Designed and built a multi-sensory robotic wheelchair with a continuous monitoring system and application. RELEVANT PROJECTS Agile Robotics for Industrial Automation Competition (ARIAC): Developed a simulation environment similar to Amazon Robotics, featuring six autonomous robots executing complex assembly and kitting tasks. Addressed many industrial automation challenges in pick-and-place, faulty sensors, part re-orientation, etc. using ROS and Gazebo, enhancing automation efficiency and reliability. Autonomous Robot Planning: Implemented task allocation algorithms for multi-agent systems with low communication, developed deep reinforcement learning models for autonomous mobile robot navigation in social environments, and executed path planning using BFS/Dijkstra for point robots, A* for mobile robots, and OMPL for manipulators. Controlled mobile robots using ArUco markers in maze environments. Perception for Robotics: Developed advanced techniques including estimation, image filtration, edge detection, feature extraction, Hough transform, morphology, histograms, clustering, projective and epipolar geometry, stereo vision, optical flow, and SLAM with deep learning. ROS-Projects: Executed projects involving Turtle-Sim for drawing and object tracking, URDF and xacro for robot visualization and movement, and Gazebo for spawning models and interacting with simulated robots. Robot Modeling: Designed a manipulator robot targeting electronic waste recycling, specifically laptops, resulting in a 45% improvement in disassembly speed and a 25% cost reduction in the recycling process. Self-Driving Car Prototype: Built prototype under 10$ capable of detecting traffic signals, signs, and lanes. IoT beacon app: Developed an app addressing university issues such as navigation, crowd, and books. SKILLSDomain: Robotics software with Path & Task Planning, Perception, Modeling & Control, IoT, Embedded Systems. Languages: C++, Python, Java, MATLAB, HTML, CSS, SQL. Frameworks: ROS, TensorFlow, Keras, Gazebo, V-REP, RViz, Matplotlib, Pandas, Scikit, Python Dash Platforms. Software & Tools: Linux, Arduino, Raspberry Pi, Microsoft Azure, SolidWorks, Git, OpenCV, CAD, PCB designing. HONORS, ACHIEVEMENTS & PUBLICATIONS Runner-up in the prestigious Agile Robotics for Industrial Automation Competition, organized by National Institute of Standards and Technology, showcasing advanced robotics skills in a competitive environment. Co-Author with Dr. Michael Otte on "Distributed Task Allocation Algorithms for Multi-Agent Systems in Low Communication," published by IEEE Robotics & Automation Society. Elected Governing Council Member of the SURE Trust committee, recognized by the government of India, responsible for managing trust technically by teaching engineering courses for more than 1200 students. Elected as Technical Head for IEEE Student body with adequate recruitment over the entire university. |
