Rahul Bansal Email & Phone Number

United States

• Working on the NASA Dragonfly flight software subsystem as part of the Space Exploration Sector to send and operate a rotorcraft over 700 million miles away on Titan, Saturn’s largest moon
• Implementing CFE Performance Monitor on spacecraft to globally track CPU usage for over 400 points of interest
• Store telemetry data in influx database and create grafana server for real-time data analysis
• Dockerize pipeline to allow for automatic distribution to flight, ground, and test software team

• Exploring optimal routing for disaster repair crews where road conditions may restrict the movement of crews to their target locations
• Constructed a simulation to emulate a multi-agent multi-target repair crew assignment on a partially known graph with a visibility function
• Designing a heuristic algorithm for efficient routing to target locations with limited but discoverable knowledge

• Engineered a torque vectoring control algorithm to enhance vehicle cornering capabilities in MATLAB/Simulink
• Used CARSIM simulation software to test the torque vectoring algorithm and tune the yaw moment calculation based on lateral acceleration and yaw rate gain
• Decreased average lap time by 7% with higher stability and control
• Integrate code onto STM32 chip and utilized CAN bus protocol for data logging and AMK communication
• Taught my subteam about vehicle dynamics and CARSIM for an electric vehicle to improve performance

• Led discussion sections twice a week to teach students about algorithmic concepts, such as dynamic programming, recursion, backtracking, graphs, minimum spanning trees, reductions, and NP-completeness
• Graded homework and provided feedback to over 400 students

• Developed a Webex-hosted chatbot with NodeJS to assist in debugging using internal data and previous bug reports
• Utilized BM25, stemming, and stop-word removal to efficiently retrieve information most relevant to answering a user’s query
• Provide suggestions to fix user bugs with an LLM model that interfaces with LangChain and HuggingFace
• Hosted chatbot on a server, allowing all Cisco employees to use it
• Reduced time spent fixing bug reports by 20% for the Cisco MIG team
• Provide suggestions to fix user bugs with the use of an NLP model that interfaces with LangChain and HuggingFace

• Worked closely with 3 classes of 18 students from elementary to high school to build problem-solving ability
• Supplied feedback to improve course content

• Led the software subteam of team 2473 through the 2021 - 2022 FIRST Robotics Competition Challenges
• Innovated a method of precise and complex autonomous control of the robot that allows the robot to traverse a path in half the time and with only up to 2 inches of error after 15 seconds of movement
• Authored a white paper to explain autonomous robot control for future Cupertino High School robotics teams

Education record

Education record