At 13 years old, I began programming in school and developed a passion for computer science. Starting with HTML and Visual Basic, I went on to learn C++ and MySQL by the time I got to college. I have since worked with several languages and frameworks. C++ still remains one of my favorites.
As I have gained more experience in software engineering, I have grown a particular interest in Machine Learning / AI, Full-Stack Development as well as Embedded Software and UX Design.
I am primarily a Software Engineer; however, I believe that without design, any software is incomplete. At my summer internship in 2017 at Little Black Book, Delhi, I worked as an iOS developer and designer. Under the guidance of my mentors, I learned a lot about working in the field and about good engineering and design principles. In 2018, I interned at Pine Labs, where I created a test suite for a bank simulator in C# and C++, as well as worked with the iOS team.
In the summer of 2019, I worked at Uber Advanced Technologies Company, as a Software Engineer in the Autonomous Vehicles Maps team. I got great experience with Software Engineering principles and practices such as writing documents, exploring technologies and APIs, prototyping, and productization. I also got experience with sprint planning, code reviews, and end to end testing.
Outside of software engineering, I am passionate about photography, music and soccer. I have worked in depth with Photoshop and Microsoft Office, which have both proven to be of great help in miscellaneous roles.
Designed at Little Black Book
iOS development using Swift
Suggested articles design
iOS development using Swift
Designed for Aura Trading Co.
iOS development using Swift
Declared as a Science student with Computer Science in high school in India. Over the next two years, I learned the basics of Computer Science, including Functional Programming, Object Oriented Programming, and Database Management.
Graduated from high school and accepted admission to University of Virginia. Over the summer, I interned at Skill Tree Consulting, training children who could not afford schooling basic Microsoft Office skills. Learned the importance of technology and how it can change the world.
At the University of Virginia, I declared as a Computer Science major. Over the summer, I interned at Little Black Book, a recommendations start-up in New Delhi, India. I worked as an iOS developer and got a taste in working full days. Thanks to great mentors, I learned a great deal about Software Engineering and designing.
I also started a blockchain start-up, Aura Trading Co. with my peers. Our primary goal was to help transition cash based economies into digital economies, skipping the banking phase altogether. At Aura, I learned a great deal about entrepreneurship, software engineering, and designing.
In 2018, I continued working at Aura and went on to intern at Pine Labs as a Software Engineer. At Pine Labs, I designed a test suite for a bank simulator and learned about bank protocols. With the help of my bosses and peers, I learned about researching and designing software from scratch without direct assignments and management.
In the first third of 2019, I researched under Professor Apostolellis in Human Computer Interactions, and designing interactive learning experiences for children, imparting concepts of interconnectedness. I also did research with professor Todd Delong in Embedded Systems, cross-compiling, building and flashing C code onto MSP430 launchpad directly from command line without using Code Composer Studio IDE.
In the summer of 2019, I interned at Uber ATG, working in the Maps team in the self driving unit. My role at Uber was a Full-Stack Developer, and I was tasked with making visualization of 3D maps possible by using Vector Tiles, and procutizing the process for it.
As part of my research project with Professor Nguyen, I made a deep learning computer vision model for predicting various differents buildings at UVa, with an accuracy of 96%. I also built the service around the model such that the app can make HTTP hits to the model and return predictions.
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