I’m an engineer who chases the cause behind the effect. I studied Electronics & Communication, moved into Software, & earned a master’s focused on ML/AI.
Along the way I’ve shipped products, explored practical machine learning, & taught K–12 students in Milpitas, CA.
My favorite work sits where curiosity meets craft: solving clear problems, building clean systems, & creating tools people love to use.
Clear problem framing, accessible design, & simple, reliable engineering. I aim for readable code, thoughtful interfaces, & performance that feels effortless & products that respect time, & privacy, while delighting users.
Fuzzing inputs, modeling threats, and courting edge cases. I value honest failures, fast feedback, and observability, using breakpoints, logs, & experiments to reveal weak links & simplify the system.
Good products are self built but great products emerge from team efforts. I write docs, name things carefully, and listen first, seeking diverse viewpoints, grow teammates, and ship with confidence.
Refactor ruthlessly, retire debt, and rethink constraints. I prototype, measure, & iterate to uncover simpler architectures, better defaults, & capabilities that scale gracefully with users and time.
Coming from a traditional Sanatana family, I’ve been exposed to a vast body of knowledge in the scriptures and Vedic practices from an early age. I was trained in the Ithihasas, Vedas, and the Vedantham alongside my academics, which gave me a strong grasp of their timeless science, faculties, and philosophies.
I also enjoy good books, listening to & playing music, & exploring the world with my friends.
