About Me
MY BACKGROUND
Welcome to my professional corner! As an experienced Product Engineer with a passion for robotics and automation, I specialize in bringing innovative ideas to life. With a strong background in mechanical engineering, robot programming, and control systems, I excel in new product development, continuous improvement, and validation testing. My dedication to sustainable solutions and attention to detail drives me to continuously push the boundaries of technology. Explore my site to see what I have to offer.
Education
WHAT I'VE LEARNED
AUGUST 2022 - MAY 2024
University of Maryland College Park, USA
A James Clark School of Engineering
Master of Engineering; Robotics
My graduate degree has helped me gain experience and knowledge in Robot Design, Programming, Robot Operating System, Controls and Automation, Path Planning, Perception, Computer Vision, Machine Learning Algorithms and Reinforcement Learning
AUGUST 2015- MAY 2019
National Institute of Technology Warangal, India
Bachelor of Technology; Mechanical Engineering
My bachelor's studies engaged me in a comprehensive curriculum that included courses such as Mechatronics, Instrumentation, Measurement Systems, Materials, 2D and 3D Modeling Software, Machine and System Design, Manufacturing, and Industrial Project Management. Each course was complemented by extensive hands-on lab work, providing practical experience and reinforcing theoretical knowledge.
Experience
WHERE I'VE WORKED
May 2023 - May 2024
University of Maryland College Park
Graduate Teaching Assistant
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Developed and enhanced course ENEE467 - Robotic Projects Laboratory, collaborated with faculty, instructed students, and conducted lab sessions to focus on practical applications in mobile and manipulator robotic systems.
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Integrated theoretical concepts with hands-on programming, implemented embedded C, logic statements, sensor fusion and autonomous navigation in TI-RSLK Max robot with MSP432 microcontroller.
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Leveraged UR3e robotic manipulator to implement pick-and-place tasks through Robot Operating System (ROS), path planning, camera calibration and fiducial marker navigation.
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Worked as Graduate Teaching Assistant- Grader for ENPM667: Robot Learning focusing on Machine Learning Algorithms and Reinforcement Learning.
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Mentored students actively to achieve real-world robot performance goals and enhance their practical skills.
July 2019 - July 2022
TechnipFMC, Hyderabad, India
Mechanical Product Engineer I
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Managed component verification and validation projects worth $1B+ for global energy leaders- supported new product development and improved performance and efficiency by 30%.
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Analyzed and interpreted data from 10 qualification tests utilizing strain gauges, measurement instruments and data acquisition systems- authored test plans and technical reports to communicate improvements and results.
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Leveraged engineering principles in system design, concept generation, fixture design, GD&T, and design calculations- ensured compliance with API and other Industry Safety Standards.
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Contributed and managed 10+ subsea projects, identified customer requirements, created detailed part, weldment, and assembly drawings, conducted design reviews and compiled project documentation.
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Mentored around 10 graduate trainees to develop hands-on experience and conducted knowledge sharing sessions to improve team productivity.
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Drove a significant 40% reduction in engineering process time- developed standard templates and methodologies to bridge gaps between test data and FEA simulation inputs.
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Piloted an initiative to troubleshoot and improve a seal design through root cause analysis and cross-functional collaboration with subject matter experts, manufacturers, and suppliers- reduced potential product damage by 60%.
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Supported continuous improvement by employing lean manufacturing tools to identify bottlenecks in product development and production process.
May 2018 - July 2018
Schneider Electric, Bengaluru, India
Intern, Electromechanical Design
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Evaluated the performance of advanced thermal monitoring sensors in electrical distribution panels.
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Developed a comprehensive understanding and hands-on knowledge of Low-Voltage Electric Distribution Systems, electric schematics, and fundamentals of communication networks.
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Assessed mechanical, electrical, and environmental compatibility to enhance seamless hardware integration.
DECEMBER 2017 - JANUARY 2018
Indian Institute of Technology Madras, India
Research Assistant
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Assisted in research focusing on Advanced Welding Techniques and Weld Repair of XH43 Super Alloy Castings.
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Experimented with various process parameters to optimize the design and conditions for successful weld repairs.
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Performed RCA to troubleshoot real-time industrial welding issues and enhanced the reliability and efficiency of welding processes for superalloy castings.
Skills & Languages
WHAT I BRING TO THE TABLE
Programming & Coding
Python, C, C++, Embedded C, MATLAB, HTML, Arduino
CAD & Simulation
Solidworks, CATIA, Creo, Siemens NX, AutoCAD, Fusion 360, Gazebo, Rviz, Ansys, Factory I/O
Software and Tools
Robot Operating System (ROS1, ROS2), Linux, Git, Docker, SAP, CUDA, MS Office, Power BI, SAP
Robotics
Robot Design, Controls, Automation, PID, Hardware, Sensor Integration, Path Planning, Computer Vision, ML, Reinforcement Learning, LLM, Transformers, Deep Learning, Pytorch, TensorFlow, PLC, HMI
Product Management
Lean Manufacturing, Value Stream Mapping, 5S, Root Cause Analysis (RCA), Factory Acceptance Test, DFMA, FMEA, Tolerance Stack, GD&T, Technical Reports, PLM, Tooling and Instrumentation
Soft Skills
Mentorship, Teamwork, Problem Solving, Decision Making, Communication
Projects
THINKING HAT ON!
Warehouse Automation Simulation | Python, C++, ROS2, OOP, Gazebo, OpenCV, MoveIt
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Built an industrial manufacturing system based on Agile Robotics for Industrial Automation Competition (ARIAC).
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Employed ROS to develop algorithms and communication interfaces for improving robot agility and autonomous capabilities in dynamic manufacturing environment - scored 100% accuracy in completing the tasks.
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Implemented sensor fusion, perception, real-time control, and algorithm refinement to improve system efficiency.
Deep Learning Based Semantic Food Segmentation Analysis | Python, Pytorch, Image Processing, OpenCV, ML
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Built a deep-learning model for semantic food segmentation, visualized image regions & analyzed pixel information.
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Leveraged transfer learning, created custom neural network model, and collected own dataset for training and validation.
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Achieved around 70% accuracy for the segmentation process using the transfer learning on ResNet50 architecture.
Custom Collaborative Robotic Manipulator | Solidworks, Python, ROS, Gazebo, MoveIt, Rviz
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Designed and modelled a 6DOF robot manipulator for automating manufacturing warehouse tasks.
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Performed trajectory and inverse kinematic calculations, and sensor integration to achieve 90% accuracy of the operations.
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Employed ROS to communicate and simulate the manipulator with PID control systems to fine-tune the movements.
Autonomous Navigation for Mobile Robot | Python, ROS, Gazebo, TurtleBot3, LiDAR, Camera
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Achieved autonomous navigation on a TurtleBot using RRT, Informed RRT*, A-star, Dijkstra path planning algorithms.
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Demonstrated obstacle avoidance using LiDAR, ROS framework for communication and tuning PID and robot parameters.
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Executed successful integration with both simulation and TurtleBot3 hardware deployment to achieve 98% optimal path.
Inventory Tracking System | Excel, Forecasting, Inventory Management, MRP, Scheduling
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Initiated the development of an inventory tracking model at NITW, through industrial engineering techniques and strategy.
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Forecasted around 80% cost reduction and enhanced sustainability for the envisioned transition to energy-efficient equipment & lighting.
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Applied cost-benefit analysis and scheduling techniques to optimize resource allocation and improve overall efficiency.
Positions and Responsiblities
WHERE I SHINE
General Secretary - News and Magazine Committee, NITW
Joint Secretary - Mechanical Engineering Association, NITW