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Perception and Navigation, M.Tech Robotics and Mobility Systems, IIT Jodhpur
Completed M.Tech in Robotics and Mobility Systems at IIT Jodhpur, I am deeply committed to integrating advanced robotics with agricultural practices to drive innovation and sustainability. My journey from Agricultural Entrepreneur and Manager to robotics engineer reflects a focused dedication to leveraging technology for transformative impact in agriculture. With a B.Tech in Mechanical Engineering, I bring a robust foundation in engineering principles that enhances my approach to developing efficient, eco-friendly solutions. My experience at Nestlé, where I optimized warehouse layouts to boost productivity, further honed my skills in industrial engineering. I am proficient in Mathematical Modeling and Simulation, ROS, Sensor Integration, Robot Programming, Path Planning, Computer Vision, Artificial Intelligence, experimental research, and data analysis. I hold certifications and have completed projects in MATLAB, Python, Machine Learning, and SOLIDWORKS, which equip me to tackle the complexities of robotics applications. I am passionate about advancing agricultural standards through cutting-edge robotics, striving to create sustainable solutions that address global challenges and have a lasting impact on the industry.
Indian Institute of Technology Jodhpur
Master of Technology - MTech, Robotics and Mobility Systems
July 1, 2023 – May 1, 2025
Guru Nanak Dev Engineering College, Ludhiana
Bachelor of Technology - BTech, Mechanical Engineering
January 1, 2016 – January 1, 2020
Novus Hi-Tech
Research Engineer
December 1, 2025 – Present
Bengaluru, Karnataka, India · On-site
Department of Mechanical Engineering, IIT Jodhpur
Junior Research Fellow
May 1, 2025 – November 1, 2025
Jodhpur, Rajasthan, India · On-site
Self-employed
Agricultural Entrepreneur and Manager
January 1, 2021 – June 1, 2023
Punjab, India · On-site
Nestlé
Industrial Engineering Intern
November 1, 2020 – December 1, 2020
Gurugram, Haryana, India · Remote
Eastman Cast & Forge Ltd
Intern
July 1, 2019 – November 1, 2019
Ludhiana, Punjab, India · On-site
Kartar Bros Private Limited
Gear Manufacturing
June 1, 2018 – July 1, 2018
Ludhiana, Punjab, India · On-site
PERCEPTION OF UNKNOWN ENVIRONMENT ,PATH PLANNING,OBSTACLE AVOIDANCE AND AUTONOMOUS NAVIGATION
March 1, 2024 – May 1, 2024
The aim of this project was to create a campus like environment in gazebo. Then using a robot first sense this environment and make a map of this environment. Robot will open to environmental changes. After perception robot will do path planning in the campus. The main work of the robot will be to guide others to move from one location to another. It is simulation based project for Autonomus Systems.
Underwater Pipeline Detection using computer vision
March 1, 2024 – April 1, 2024
This project focuses on developing an efficient system for identifying underwater pipelines within low-quality images.The main aim was to use classical computer vision techniques to enhance image clarity and accurately detect pipelines, particularly in challenging underwater environments. Integrated a range of computer vision algorithms and filters including LAB color space conversion, Gaussian blurring, adaptive histogram equalization, Canny edge detection, morphological operations, probabilistic Hough transform, and adaptive region of interest selection, leading to improved detection accuracy.
Leader Follower Formation Control of Non-holonomic Mobile Robots
February 1, 2024 – April 1, 2024
This project focuses on implementing leader-follower formation control for nonholonomic wheeled mobile robots using a Lyapunov-based control strategy. The key aspects of the project include: 1.Understanding the kinematics of differential drive wheeled mobile robots (WMRs) 2.Modeling the leader-follower formation using relative distance and angle between robots 3.Designing Lyapunov-based controllers for position, velocity, and orientation control 4.Simulating line and circular formations using the derived control laws Skills Gained:- Robotic Kinematics Formation Control Lyapunov Stability Analysis Simulation and Visualization Problem-Solving and Mathematical Modeling Multidisciplinary Knowledge
Voice-Controlled Smart Home Automation System with Sensor Integration
February 1, 2024 – April 1, 2024
This project focused on developing a voice-controlled smart home automation system using an Arduino Nano 33 BLE Sense microcontroller. The key aspects of the project included: Implementing a word recognition system to control appliances using low-power microcontrollers with machine learning capabilities Integrating relevant sensors (temperature, humidity, light) to gather real-time environmental data for sensor-driven automation Utilizing relays to bridge the gap between the microcontroller's low-power signals and the higher power requirements of appliances Deploying machine learning models directly onto the device using TensorFlow Lite for Microcontrollers to enable intelligent voice control and AI-driven functionalities Skills Gained By working on this project, the following key skills were gained: Embedded System Design: Gained experience in designing and implementing embedded systems using low-power microcontrollers like the Arduino Nano 33 BLE Sense Machine Learning Integration: Learned how to deploy machine learning models on microcontrollers using TensorFlow Lite for Microcontrollers, enabling intelligent voice control and sensor-driven automation Sensor Integration: Developed skills in interfacing various sensors (temperature, humidity, light) with microcontrollers and utilizing sensor data for home automation Voice Recognition: Gained knowledge in implementing speech recognition systems using machine learning techniques like MFCC (Mel-Frequency Cepstral Coefficients) and convolutional neural networks Hardware-Software Integration: Learned to bridge the gap between low-power microcontroller signals and high-power appliances using relays, ensuring safe operation and management of devices Project Management: Practiced project management skills by dividing the project into segments and working collaboratively on different parts simultaneously
Design and Implementation of a Green Field Warehouse Project
October 1, 2020 – December 1, 2020
Project Description This project involved the comprehensive design and planning of a green field warehouse for Nestlé India Ltd. The primary objectives included: Analyzing various types of warehouses and their operational efficiencies to determine the best layout for the new facility. Considering critical factors such as building size, roof height, truck access, and material flow to optimize warehouse operations. Developing a detailed layout plan that specifies designated areas for different functions, including storage, loading/unloading, and administrative tasks. Justifying the proposed design through a thorough examination of warehouse design principles and operational requirements. Skills Gained By engaging in this project, the following skills were developed: Warehouse Design Principles: Acquired knowledge of effective warehouse design, including space utilization, layout planning, and operational efficiency. Analytical Skills: Enhanced ability to analyze various warehouse types and their functionalities to make informed design decisions. Project Planning: Gained experience in project management by planning and executing the design process from concept to layout. Problem-Solving: Developed problem-solving skills by addressing constraints and optimizing workflows within the warehouse environment. Collaboration and Communication: Improved teamwork and communication skills through collaboration with project guides and stakeholders. Technical Documentation: Learned to create detailed technical documentation and layout plans, which are essential for effective project execution.
Airfoil Testing in Open Air Subsonic Wind Tunnel
August 1, 2019 – April 1, 2020
This project focused on studying the low-speed aerodynamic characteristics of a standard airfoil using an open-circuit subsonic wind tunnel. The key objectives were: Visualizing the flow around an airfoil experimentally in the wind tunnel and comparing the results with computational fluid dynamics (CFD) simulations. Fabricating a smoke generating mechanism to enable flow visualization. Designing and fabricating a standard airfoil using suitable materials and dimensions. Conducting wind tunnel tests to determine the two-dimensional low-speed aerodynamic properties of the airfoil. Calculating the lift and drag coefficients of the airfoil. Skills Gained Through this project, I developed the following skills: Experimental fluid mechanics: Gained hands-on experience in setting up and operating a subsonic wind tunnel for airfoil testing. Flow visualization techniques: Learned to fabricate a smoke generator and use it for visualizing the flow around an airfoil. Airfoil design and fabrication: Developed skills in designing and fabricating airfoils using appropriate materials and dimensions. Data analysis: Learned to analyze wind tunnel test data to determine the lift and drag coefficients of the airfoil. Computational fluid dynamics: Gained exposure to CFD simulations and their application in validating experimental results. Project management: Demonstrated the ability to plan, execute, and deliver a comprehensive project within the given timeframe.
Noise Reduction in Hand Tool Industry and New Business Development
August 1, 2019 – November 1, 2019
Project Description The project focused on two main aspects: 1. Noise Reduction in Hand Tool Industry: This part involved studying and implementing methods to reduce noise levels in the hand tool manufacturing process at Eastman Cast and Forge Limited. It included analyzing noise sources, testing various noise control techniques, and implementing effective solutions to create a safer work environment. 2. New Business Development (NBD): The NBD component involved researching and identifying new business opportunities for the company, both in domestic and export markets. This included analyzing market trends, identifying potential customers, and developing strategies to expand the company's product portfolio and customer base[1]. Skills Gained Through this project, I gained valuable skills in the following areas: - Industrial noise measurement and analysis: Learned to use sound level meters and conduct noise surveys to identify and quantify noise sources in a manufacturing environment. - Noise control techniques: Gained knowledge of various noise control methods such as sound enclosures, baffles, and personal protective equipment (PPE) and their effective implementation. -Market research and analysis: Developed skills in conducting market research, analyzing industry trends, and identifying potential business opportunities. - Business strategy development: Learned to formulate and present business strategies for new product development and market expansion. - Project management: Demonstrated the ability to plan, execute, and deliver a comprehensive project within the given timeframe.
C++ Essential Training
June 23, 2026 – Present
pandas Essential Training
June 23, 2026 – Present
Learning Bash Scripting
June 23, 2026 – Present
NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities
June 23, 2026 – Present
NumPy Essential Training: 1 Foundations of NumPy
June 23, 2026 – Present
Introduction to Programming Using Python
CS50
June 23, 2026 – Present
Additive Manufacturing: Optimizing 3D Prints
June 23, 2026 – Present
SWCAD1.0: SOLIDWORKS CAD Fundamentals
edX
June 23, 2026 – Present
Introduction to Linear Algebra with MATLAB ,Solving Ordinary Differential Equation with MATLAB, MATLAB onramp, Solving Non Linear Equations with MATLAB, Introduction to Symbolic Math with MATLAB, Fundamentals of MATLAB
MathWorks
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, spanning robotics, computer vision, embedded systems, industrial engineering, and even agricultural entrepreneurship. This breadth indicates adaptability and a willingness to explore different domains. However, the majority of projects and experience lean heavily towards robotics and mechanical engineering, which is not a direct alignment with a typical Data Analyst role. While the analytical skills gained are transferable, the core focus is not data analysis in a business context. The 'Agricultural Entrepreneur' role shows initiative and leadership, which are positive cultural attributes.
Soft Skills & Operational Fit
The candidate's project descriptions highlight skills such as problem-solving, mathematical modeling, project management, critical thinking, and collaboration. The 'Agricultural Entrepreneur and Manager' role also indicates leadership, business development, and strategic planning. These soft skills suggest a good operational fit for roles requiring independent work, team collaboration, and strategic thinking, although the direct relevance to a Data Analyst role needs further validation.