Building reliable systems and AI-powered apps.
Incoming Apple SWE Intern, RF SWAT Team, Cupertino.
I spent two years at Arista Networks writing systems software in C/C++: kernel drivers, networking stacks, multi-threaded daemons. I loved the craft of it, but I always wanted to build things people could actually touch and use.
That sent me to UCSD's MS Computer Engineering program in 2025, and pushed me to teach myself Swift along the way. I built RecoverAI and LeanAI over the past year. This summer I'm joining Apple's RF SWAT team as a SWE Intern, working at the intersection of hardware systems and software.
I think the best engineers right now are the ones who integrate AI tools natively into their work. That's the skill I'm building deliberately.
Designed, engineered, and shipped solo. SwiftUI with AI backends.
An empathetic AI recovery companion for athletes. You log how you feel, and RecoverAI tells you whether to train, modify, or rest, with AI-generated rationale that draws from your soreness history, sleep, mood, and stress data.
A nutrition and fitness tracker built around one goal: losing fat while preserving muscle. Describe your meals in plain English and LLaMA 3.3 handles the macro math. HealthKit pulls your daily activity. CloudKit keeps you and your training partner in sync.
Sub-meter indoor positioning using Wi-Fi Channel State Information and Fine Timing Measurements. Research at WCSNG lab, funded by Qualcomm.
Real-time network anomaly detection system winning Arista Networks internal hackathon. Hybrid C++/Python architecture with adaptive thresholding.
Full OFDM physical layer implementation of the IEEE 802.11a standard in MATLAB: QPSK modulation, STF/LTF preamble, multipath channel simulation, synchronization, channel estimation, and equalization.
Coverage and energy efficiency optimization for UAV-mounted base stations in emergency and rural deployments using trajectory planning algorithms.
Task offloading and scheduling framework for UAV-assisted Mobile Edge Computing in 5G and IoT networks, minimizing latency and energy consumption.
Co-authored systematic review of machine learning approaches for environmental and climate prediction, covering CNNs, RNNs, and ensemble methods.
Focusing on wireless systems, machine learning, and signal processing. Research at WCSNG lab on Wi-Fi indoor localization. Recruiting as Apple SWE Intern from this program.
Graduated with 8.39/10 CGPA. Coursework in embedded systems, digital design, signals, control theory, and computer architecture. Strong CS minor through electives.
Winner, Arista Networks internal hackathon for anomaly detection system
Cisco Certified Network Associate, Oct 2025
City topper + National Gold Medalist in CBSE board exams
Squat, bench, deadlift. The other kind of systems optimization.
Binary exploitation, reverse engineering, and cryptography challenges
Horology nerd. Currently: Seiko Prospex Marine Green GMT. See my wishlist →
Open water and lap swimming. Best for clearing the mental stack.
Settlers, Ticket to Ride, Wingspan. Strategic thinking that doesn't require a terminal.
Japan 2024 was the highlight. Building the list for what's next.
Not actively job hunting right now since the Apple internship is sorted, but I'm always up for interesting conversations: research collaborations, iOS projects, or just talking shop about systems engineering and AI tooling.