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resume.json
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resume.json
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{
"meta": {
"theme": "professional"
},
"basics": {
"name": "Mrunal Sarvaiya",
"label": "Roboticist and Scientist",
"image": "",
"email": "mrunal.s@nyu.edu",
"url": "https://mrunaljsarvaiya.github.io",
"location": {
"city": "Brooklyn",
"countryCode": "US",
"region": "New York"
},
"profiles": [
{
"network": "LinkedIn",
"username": "mruanaljsarvaiya",
"url": "https://www.linkedin.com/in/mrunaljsarvaiya/"
}
]
},
"education": [
{
"institution": "New York University",
"location": "Brooklyn. NY",
"url": "https://wp.nyu.edu/arpl/",
"area": "Electrical and Computer Engineering",
"studyType": "PhD Candidate",
"startDate": "2023-08-10"
},
{
"institution": "University of California, Berkeley",
"location": "Berkeley, CA",
"studyType": "M.Eng in Control of Robotic and Autonomous Systems",
"startDate": "2018-08-10",
"endDate": "2019-05-15",
"score": "3.70/4.0"
},
{
"institution": "Stanford Center For Professional Development",
"studyType": "AI Graduate Program",
"startDate": "2022-01-10",
"endDate": "2023-05-15",
"score": "3.77/4.30"
},
{
"institution": "University Of Illinois At Urbana-Champaign",
"location": "Champaign, IL",
"studyType": "B.S. Mechanical Engineering with Highest Honors",
"startDate": "2014-08-10",
"endDate": "2018-05-15",
"score": "3.89/4.0"
}
],
"publications": [
{
"name": "HPA-MPC: Hybrid Perception-Aware Nonlinear Model Predictive Control for Quadrotors with Suspended Loads",
"releaseDate": "2024-11-18",
"url": "https://mrunaljsarvaiya.github.io/hpa-mpc.github.io/"
}
],
"work": [
{
"name": "Peanut Robotics",
"position": "Senior Robotics Software Engineer",
"location": "San Francisco, CA",
"startDate": "2019-08-19",
"endDate": "2023-08-10",
"highlights": [
"Developed the motion planning software architecture for a custom mobile manipulator",
"Selected, integrated and tuned a trajectory tracking controller and time optimal trajectory generator (TOPPRA)",
"Designed and implemented a custom navigation planner for hotel hallways that generates human-like and aesthetically pleasing motions",
"Trained a neural network model to estimate manipulator currents used to add trajectory generator torque constraints for enhanced reliability",
"Engineered tools to optimize robot paths by smoothing trajectories and reducing, overall joint-space distance by tweaking input configurations using an optimization program" ]
},
{
"name": "Squishy Robotics",
"position": "Controls And Software Engineer (M.Eng. Capstone Project)",
"location": "Berkeley, CA",
"startDate": "2018-08-19",
"endDate": "2019-05-10",
"highlights": [
"Implemented and tuned a path planning technique using A-star and MPC for a Tensegrity robot",
"Increased range of communication by 200% by integrating long range radio software",
"Developed software that allowed interchangeable use of different frequency radios"
]
},
{
"name": "Tesla, Inc",
"position": "R&D Test Systems Engineering Intern",
"location": "Palo Alto, CA",
"startDate": "2018-05-19",
"endDate": "2018-08-10",
"highlights": [
"Created a Python program that automated data logging and was deployed on over 20 workstations replacing hardware worth over $5,000 per dynamometer workstation",
"Increased data accessibility and reduced post processing time by uploading data to a company-wide server which is accessed by a Jenkins pipeline",
"Reduced complexity of non-standard test scripts by integrating python into the existing testing architecture"
]
},
{
"name": "Illini Motorsports (Formula SAE)",
"position": "Team President and Business Team Lead Presenter",
"location": "Champaign, IL",
"startDate": "2015-08-19",
"endDate": "2018-05-01",
"highlights": [
"Managed and allocated a $30,000+ budget for 6 subsystems for a team of 80 students",
"Raised funds by building relationships with 10 corporate sponsors and represented the team at major university outreach events",
"Secured four top 3 finishes as the business team presenter at international university competitions",
"Optimized vehicle intake geometry using GT-Power simulations, increasing engine power output by 2 HP",
"Led a team of 6 students to design and validate a new vehicle radiator and fan"
]
},
{
"name": "Advanced Controls Research Laboratory (Dr. Naira Hovakimyan)",
"position": "Research Assistant",
"location": "Champaign, IL",
"startDate": "2017-05-19",
"endDate": "2018-03-10",
"highlights": [
"Developed a genetic algorithm in Matlab to find the best path for multiple drones given time, velocity, acceleration and space constraints",
"Programmed an on-board controller for the motor that increased precision of the manipulator arm by 40% and increased range of motion by 100%",
"Reduced complexity of non-standard test scripts by integrating python into the existing testing architecture"
]
}
],
"awards": [
{
"title": "Top 3 in the Business and Sales Presentation event",
"date": "2018-05-20",
"awarder": "Formula SAE",
"summary": "FSAE Michigan 2016, 2017, 2018 and FSAE Lincoln 2016, 2017, 2018"
},
{
"title": "GM/Philip W. Leistra Jr. Society of Automotive Engineers Award",
"date": "2018-03-01",
"awarder": "Mechanical Engineering Dept at UIUC",
"summary": "Award for my contributions to the Formula SAE team"
},
{
"title": "Dean's List",
"date": "2018-05-01",
"awarder": "Mechanical Engineering Dept at UIUC",
"summary": "Awarded every semester except Spring 2018"
}
],
"skills": [
{
"name": "Programming",
"level": "Master",
"icon": "fa-solid fa-hashtag",
"keywords": [
"Python",
"C++",
"ROS 1/2",
"Matlab",
"Docker",
"PyTorch",
"Tensorflow"
]
},
{
"name": "Planning and Controls",
"level": "Master",
"icon": "fa-solid fa-hashtag",
"keywords": [
"Model Predictive Control",
"Reinforcement Learning",
"Classical Control Techniques",
"Trajectory Generation",
"Trajectory Tracking Controllers"
]
},
{
"name": "Hobbies",
"level": "Intermediate",
"icon": "fa-solid fa-hashtag",
"keywords": [
"Rock Climbing",
"Coffee connoisseur",
"Chef",
"Guitar",
"Formula 1 Sim Racer"
]
}
],
"languages": [
{
"language": "English",
"fluency": "Native speaker",
"icon": ""
},
{
"language": "Hindi",
"fluency": "Native speaker",
"icon": ""
},
{
"language": "Gujarati",
"fluency": "Fluent",
"icon": ""
}
]
}