About

Me

Hi, I'm Gunjan Khut,

A Robotics Controls Engineer with a passion for innovation and a drive to push the boundaries of technology, I thrive on creating solutions that merge cutting-edge hardware with intelligent software. With a strong academic foundation from the University of Maryland, College Park, and 11+ years of professional experience in Robotics, Industrial Automation, and Controls, I have honed my expertise in a variety of areas.

Throughout my career, I have been at the forefront of designing and implementing state-of-the-art robotics projects, harnessing the power of computer vision, AI planning, and advanced control algorithms. My proficiency in industrial automation, computer vision, machine learning, deep learning, Data Science and AI planning has led me to drive IoT, Industry 4.0 initiatives and sustainable manufacturing practices. Notably, I innovated a data-science tool for calculating and analyzing solar power plants.

My diverse skill set includes programming software's, applying my expertise in Robot Control, Kinematics, and Dynamics. I possess a keen eye for Computer Vision and Machine Vision applications and excel in Mechatronics and Electromechanical design. My experience with Embedded Systems has enabled me to create robust and efficient solutions.

Having worked in a 80K Sqft. Cleanroom manufacturing facility, I have extensive experience in High speed manufacturing, rapid prototyping, laboratory testing, and simulation, ensuring that each project meets the highest standards of quality and performance. My proficiency in 3D CAD modeling and generating manufacturing drawings and control schematics enables seamless product development.

I actively collaborate and contribute to open-source software projects, fostering a spirit of knowledge sharing and community growth. My expertise extends to Linear & Optimal Control, Robot Localization & Navigation, Sensor Integration and Fusion.

I have had the opportunity to work with a wide array of software and hardware technologies, including Git, Linux, MATLAB, OpenCV, and SolidWorks. My hardware expertise encompasses Industrial Robots (ABB, Fanuc & UR), Keyence/Cognex Vision Systems, SuperTrak, BnR Controllers, Mobile Platforms, RGBD sensors, Micro-controllers, AC & DC motors, PLC, HMI & VFDs, Linear Stages, and Pneumatic Actuators.

My ultimate goal is to make robotics accessible to all, empowering individuals and industries to achieve remarkable feats through advanced technology. If you are interested in connecting for professional purposes or discussing potential collaborations, feel free to reach out to me

What I do?

Here are some of my expertise

Robotics

Industrial Automation & Controls

IoT & Smart Manufacturing

Machine Learning & Deep Learning

Computer Vision

AI Planning & SLAM

Education

Education

Graduated with Masters of Engineering in Robotics from University of Maryland, College Park

  • Duration : 2 years (Jan 2018 - Dec 2019)
  • GPA : 3.77/4
  • University of Maryland, College Park

    • Graduated with post graduate diploma in business management from NMIMS, Mumbai.

  • Duration : 2 years (Jan 2017 - Dec 2018)
  • Scorecard : Passed with First Class
  • NMIMS, Mumbai, India

    • Graduated with Bachelors of Engineering in Electronics & Telecommunications from R. C. Patel Institute of Technology which is affiliated to North Maharashtra University.

  • Duration : 3 years (Aug 2011 - Jun 2014)
  • Scorecard : 72.60% (First Class with Distinction) - Class rank 25/180
  • R. C. Patel Institute of Technology, Shirpur, India

    • Graduated with High School Diploma in Industrial Electronics Engineering from K. J. Somaiya Polytechnic.

  • Duration : 3 years (Aug 2008 - Jun 2011)
  • Scorecard : 58.25% (First Class)
  • K. J. Somaiya Polytechnic, Mumbai, India

    • Work Experience

    Work Experience / Internship

    Senior Controls Engineer  July 2020 - Present

    Insulet Corporation

    • Led the implementation of assembly and process equipment, AGVs, and Robots to optimize Manufacturing Operations.
    • Designed and programed controls infrastructure, including PLCs programming, Vision systems, HMIs, Keyence and Cognex machine vision systems, database management, and motion control drives (VFD and servo drives).
    • Programed various Robots for accurate and precise pick-place operations with auto learning features (ABB and Fanuc)
    • Led the development of Robotic systems: IO device & component selection, power distribution & Network architectures, detailed electrical schematics, & comprehensive documentation of sequence of operation and functional requirements.
    • Performed statistical analysis, predictive modeling, generate automated reporting to create data catalog.
    • Developed computer vision algorithms: real-time object recognition and tracking, camera calibration, 3D reconstruction.
    • Conducted data analysis, feasibility studies, and process improvements using data science tools and self-created programs & Collaborated with data engineering for documentation and implementation of analytics tools.
    • Collaborated on and reviewed wiring diagrams and logic for new equipment, field retrofits, and upgrades to ensure high reliability of equipment, including lasers, optical gaging devices, continuity testing, and inspection.
    • Improved process efficiency in assigned areas by analyzing equipment maintenance history, identifying waste causes, developing root-cause solutions, and providing maintenance assistance as needed.

    Business Intelligence Developer  Jun 2020 - Sep 2020

    Sylger Corporation

    • Developed scalable ML solutions for CSOSA (Court Services and Offender Supervision Agency) throughout the entire project lifecycle, including data extraction/preparation, result documentation on Azure Big Data platforms. Processed and analyzed a dataset of 50M offender records, achieving accuracy of 98%, resulting in improved model performance.

    Software Engineer Intern  Feb 2020 - Jun 2020

    digiBlitz Inc

    • Conducted large-scale data training and validation for various DNNs implemented in TensorFlow. Handling datasets of over 100,000 samples with an accuracy enhancement of 15% on average.
    • Designed and programmed robotic arms, resulting in a 25% increased precision on robot control and device controllers.

    Research Assistant  May 2018 - Dec 2019

    University of Maryland, College Park

    • Led the development of scalable ML solutions, including a facial recognition, achieving a recognition accuracy of 92% .
    • Designed and executed various SQL queries and functions, meeting demands with a 98% accuracy rate in query results.
    • Implemented ML algorithms using Azure for detailed analytics, resulting in a 75% improvement in model performance.
    • Updated Python scripts to match training data with the AWS cloud Search database for document classification.

    Automation Engineer  Jul 2015 - Dec 2017

    P. G. Drive, Mumbai, India

    • Performed testing, commissioning, and maintenance of electrical panels, PLCs, VFDs, and HMIs for various projects.
    • Innovated and upgraded a manual solar tracker to a sensor-based model for automation.
    • Developed control logic, AutoCAD drawings, Technical specification documents, power & control wiring, specifications, and inspection of low-medium power electrical equipment: switchgears, transformers, motor testing.
    • Led various field operational projects from design through commissioning, providing after-sales and technical support.
    • Designed electrical control panels and successfully commissioned complex solutions involving IT networking and automation components, yielded a 20% enhancement in production efficiency and reduction in manual intervention.
    • Prepared instruments data sheet, flow charts, BOM, Erection bill of material based on the cost-effective solutions.

    Maintenance Engineer   Jun 2014 - Jun 2015

    JK & PC Texlab, Mumbai, India

    • Installed 15 complex and advanced machinery for clothing yarns, resulting in a 40% increase in production capacity.
    • Updated the technical documentation database and performed analysis to find 6 process innovations.
    • Contributed to the enhancement of product portfolio by working on 2 special projects for beaker dyeing machine.
    • Diagnosed and troubleshooted system errors, implemented tactical solutions to improve machine efficiency by 15%.
    • Calibrated and performed FAT for the instruments, ensuring quality standards and a 100% passing rate.

    Electronics Engineer   Jun 2012 - Jun 2014

    Speed Control Industries, Mumbai, India

    • Configured module softwares, generated I/O Databases, and translated flowcharts and write-ups to configurations.
    • Engaged in system engineering, including designing PCBs, IoT integration, assigning Digital I/O points, preparing BOMs, and wiring diagrams, Prepared comprehensive documentation which reduced troubleshooting time by 60%.
    • Coordinated with contractors and customers during site visits, meetings, and document preparation for successful project implementation with 95% customer satisfaction rate.
    Achievement

    Achievement

  • Developed an autonomous mobile robot inorder to traverse autonomously through a cluttered environment in order to find targets and move them to a specified location
  • Planning of route and navigation of obstacles using LiDAR from a start point to end point in a known environment.
  • Used g-mapping technique using SLAM and developed a binary map of the environment to feed to the Planning algorithm.
  • Involved in Programming the mobile robot to Localize, Plan and Navigate using Robot Operating System (ROS)

      • Duration : Apr 2019 – Jun 2019

  • Worked on an emergency vehicle detection system in low visibility conditions, detected vehicles with accuracy of more than 85% on images/videos using transfer learning and faster RCNN model.
  • Involved selection of appropriate CNN model selection and data augmentation.

      • Duration : Sep 2018 – Nov 2018

    Engineered a sequential multi-layered security vault that was operational only when it fulfills the following security combinations:

  • Coordinate specific location,
  • Biometric recognition,
  • Encrypted 4-digit pin.

      • Duration : Oct 2013 – Apr 2014
    Certification

    Certification

    PG Diploma in Industrial Automation  Oct 2015

    SMEC Automation Pvt. Ltd.

    • Hands-on product experience on PLC Hardware such as Allen Bradley, Siemens, Mitsubishi, ABB, GE-Fanuc and Delta
    • Having good knowledge in designing of SCADA and Interfacing PLC with SCADA (ifix, WinCC, Vijeo Citect & Wonderware Intouch)
    • Exposure to HMIs & Interfacing with PLCs
    • Handling VFD for motor control

    Certificate & Credentials

    My Work

    Projects

    Northrop Grumman Image Recognition Challenge

    The goal was to build a robust algorithm that would accurately detect the emergency vehicles in all possible scenario. Used Transfer Learning and Faster RCNN model. The sheer amount of data and unique approach allowed us to achieving 85% accuracy and win the competition.

    Check here

    Agile Robotics for Industrial Automation Competition (ARIAC)

    The objective of ARIAC is to test the agility of industrial robot systems, with the goal of enabling industrial robots on the shop floors to be more productive, autonomous, and responsive to the needs of shop floor workers. Used UR10 robot along with ROS-Gazebo framework (MoveIt, OMPL)

    Check here

    Pick and Place using Baxter

    The task is to pick a cylindrical block from one position and place it to the other position avoiding the cuboid placed on the table.Used Baxter robot along with ROS-Gazebo framework (MoveIt, OMPL)

    Check here

    Visual Odometry

    Carried out Visual odometry for a car moving around a block using feature extraction and manipulating fundamental matrix. The trajectory of the vehicle was calculated for the path

    Check here

    Traffic sign detection and classification

    Traffic sign detetction is the process of forming a bounding box around a traffic sign, so that the region of interest can then be cropped and given to the classifier for sign classification. (SVM, MSER features and HOG fetures)

    Check here

    Lane Detection

    Implemented lane detection for straight and curved lanes by using edge detection and perspective transforms. The line fitted on the lanes are extrapolated and using center of the frame to predict the curvature.

    Check here

    Deep Reinforcement Learning for Simulated Self Driving Car

    This project uses a car model developed in Graphical interface and enables it to travel from one point to another in a rectangular map using Deep Q learning. The car also displays collision avoidance property while moving in the simulation environment.

    Check here

    SunGanak - A Solar Tool

    A data science powered tool giving a generation report of various parameter such as Return on Investment (ROI), carbon footprints, estimated generation of a solar PV Plant. Adopting Solar solution can not only help you SAVE MONEY, but also leads you to an ECO SUSTAINABLE OPPORTUNITY!

    Check here

    GPS based Vault with Integrated Fingerprint Scanner and Keypad Lock

    Engineered a multi-layered security vault - operational only when it fulfills the following security combinations: 1. Coordinate specific location 2. Biometric recognition 3. Encrypted 4-digit pin • The project won an award for the best innovative project for the year 2014

    Check here

    Get in Touch

    Contact

    gunjan.khut92@gmail.com

    Boston, Massachusetts - 02135

    (+1) 332-201-9279

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