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