Mayank Rawat

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Mayank Rawat
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Education

  • University: Rochester Institute of Technology
  • College: Golisano College of Computing & Information Sciences
  • Degree: Master of Science (MS)
  • Major: Computer Science
  • Minors: Artificial Intelligence
  • Campus Mode:On Campus
  • Start Date: 01 August 2024

Work Experience

Robotics Software Volunteer

Rochester Institute of Technology 01 May 2026 To Present

• Resolved Nav2 localization failures preventing autonomous navigation by correcting map-frame transformations, waypoint coordinates, and floor-plan inconsistencies across map revisions
• Developed a Python script for sequenced autonomous navigation to named locations and a PyQtGraph GUI displaying real-time robot pose, goals, and laser-scan data as an operator-friendly RViz alternative
• Actively expanding the navigation system by correcting map inaccuracies—adding missing obstacles and fixing corridor geometry—to improve localization reliability in a real-world indoor environment

Skills:
  • Bash
  • C++
  • Distributed Systems
  • Docker
  • Documentation
  • FedAvg
  • FedProx
  • Git
  • Java
  • Keras
  • Languages: Python
  • Linux
  • Nav2
  • Nav2 Commander API
  • Numpy
  • OpenCV
  • PowerShell
  • PyQtGraph
  • Python Multiprocessing
  • PyTorch
  • ROS2
  • Scikit-learn
  • Soft Skills: Research
  • Streamlit
  • Team Collaboration
  • Technical: Federated Learning
  • Technical: TensorFlow
  • TensorFlow Federated
  • Wireshark

Research Intern

Netaji Subhas University Of Technology 01 January 2024 To 06 January 2024 (5 Days)

• Designed and implemented the network lab’s first federated learning pipeline for IoT intrusion detection, establishing a reusable research framework where no prior baseline existed
• Extracted proprietary IoT network traffic data using Wireshark and PowerShell, partitioned into non-IID splits with NumPy to enable realistic federated learning experiments
• Reported findings across configurations to supervising professor, establishing a documented benchmark and handing off a functional pipeline for continued use

Skills:
  • Bash
  • C++
  • Distributed Systems
  • Docker
  • Documentation
  • FedAvg
  • FedProx
  • Git
  • Java
  • Keras
  • Languages: Python
  • Linux
  • Nav2
  • Nav2 Commander API
  • Numpy
  • OpenCV
  • PowerShell
  • PyQtGraph
  • Python Multiprocessing
  • PyTorch
  • ROS2
  • Scikit-learn
  • Soft Skills: Research
  • Streamlit
  • Team Collaboration
  • Technical: Federated Learning
  • Technical: TensorFlow
  • TensorFlow Federated
  • Wireshark

Course Grader — Computer Networks

Rochester Institute of Technology 07 January 2025 To 12 January 2025 (5 Days)

• Graded homework assignments for a class of approximately 50 undergraduate students
• Provided detailed written feedback on networking concepts including protocols, routing, and distributed systems

Skills:
  • Bash
  • C++
  • Distributed Systems
  • Docker
  • Documentation
  • FedAvg
  • FedProx
  • Git
  • Java
  • Keras
  • Languages: Python
  • Linux
  • Nav2
  • Nav2 Commander API
  • Numpy
  • OpenCV
  • PowerShell
  • PyQtGraph
  • Python Multiprocessing
  • PyTorch
  • ROS2
  • Scikit-learn
  • Soft Skills: Research
  • Streamlit
  • Team Collaboration
  • Technical: Federated Learning
  • Technical: TensorFlow
  • TensorFlow Federated
  • Wireshark

Equal Employment Opportunity

  • LGBTQ: no
  • Ethnicity: Asian
  • Disability: no
  • Veteran: no
  • First-generation College Student: no
  • Pell Grant Eligibility: no
  • Work Authorization: yes
  • Visa Sponsorship: yes

Personal Information

  • Experience Time

    NA

  • Gender

    Select Gender

  • Age

  • Currently pursuing

    Certificate

  • Languages

    english,hindi

Skills

NA

Career Interest

Open to Different Industries

No

Location Type:

NA

Location:

NA

Employment Type:

NA

Industry:
NA

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