blurbs for drone racing, ukf and hypervaal added

Author: Karthik-Rajgopal

content/controls/droneracing/index.md

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   Deep Reinforcement Learning, Game Theory
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+Designed autonomous drone racing policies that combine multi-agent RL, reachability analysis, and game theory to enable strategic decision-making in competitive settings.
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content/mechdesign/proddev/index.md

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   Product Development
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-As part of the product development course at UC Berkeley, the team developed HyperVaal, a cost-effective, universal e-bike conversion kit that transforms any standard bicycle into a pedal-assist electric bike. The system directly powers the crankset to leverage a bike’s existing gearing, using a compact drivetrain module that includes a 750W BLDC motor, custom reduction gearing, and a user-tunable mobile app. Key innovations include a modular mounting system compatible with over 95% of commuter bikes and a structural design that combines laser-cut steel and 3D-printed components for manufacturability and affordability
+Developed a modular, pedal-assist conversion kit that fits 95% of bikes—pairing high torque, lightweight design, and intuitive installation for everyday commuters.
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content/stateest/231b/index.md

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   State Estimation
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+Built a real-time state estimator using an Unscented Kalman Filter to track a bicycle’s motion with noisy sensor inputs and uncertain system parameters.
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