Aadi Swadipto Mondal — Software Engineer
As a Software Engineer at Google, I'm currently contributing to the Privacy Budgeting Service (PBS), a key component of the Privacy Sandbox, with a focus on enhancing web privacy. My professional journey is deeply rooted in computer systems, particularly in networking and operating systems, which is where my passion lies. I have a high level of proficiency in C++, including a solid grasp of modern C++2a features. My experience as a core developer at Hudson River Trading (HRT) involved working with latency-sensitive trading and monitoring systems, where I incorporated trading support for Australian/Brazil/CME futures and engineered a library in C++ to handle market rejects. My experience at Google began with an internship where I worked on the Andromeda Software Defined Networking (SDN) substrate. This complex networking project at the heart of Google’s computing units involved optimizing key performance factors like throughput and latency, with some optimizations reaching as low as 10 nanoseconds. I added over two thousand lines of code to the production codebase and introduced new monitoring capabilities to aid in early bug detection. Beyond my professional roles, I've also engaged in significant research. I have authored three publications from my undergraduate research projects on topics such as Convolutional Neural Networks (CNN) evolution, algorithmic bias, and language models for sentiment analysis. One of my publications, "An Elemental Decomposition of DNS Name-to-IP Graphs," was published in the IEEE conference proceedings. Another, "Analysing user reviews of interactive educational apps: a sentiment analysis approach," was featured in the journal *Interactive Learning Environments*. My research interests also include networking, evolutionary computation, and algorithmic bias. My skills extend beyond systems programming to include Android and web development. During an internship at Jarvis Strategy and Consulting, I developed an Android app for on-ground surveys using Kotlin and the Model-View-View-Model (MVVM) architecture, which included offline functionality and fraud detection using the SafetyNet Attestation API. I also co-founded "Sharp Cookie," an organization to assist students with previous year's question papers and study materials. My work on an Android app for elderly care, called Care4U, was recognized by several Indian media outlets. I am a dedicated problem-solver with a proven ability to deliver results in complex and challenging environments.
Stackforce AI infers this person is a Software Engineer with expertise in privacy-focused systems and trading technologies.
Location: Mountain View, California, United States
Experience: 4 yrs 6 mos
Skills
- Rust (programming Language)
- Software Design
- C++
- Python (programming Language)
- Android Development
Career Highlights
- Expert in C++ with modern features
- Contributed to Google’s Privacy Sandbox
- Published research on algorithmic bias and sentiment analysis
Work Experience
Software Developer (1 yr 3 mos)
Hudson River Trading
Software Engineer (1 yr 6 mos)
Software Developer Internship (3 mos)
University of Wisconsin-Madison
Research Assistant (1 yr 9 mos)
Jarvis Technology and Strategy Consulting
Android Developer Internship (3 mos)
The University of Auckland
Undergraduate Researcher (4 mos)
Honeywell
Software Developer Internship (1 mo)
Inter IIT Sports Meet
Web Head of Inter IIT Sports 2019 Core Committee (3 mos)
Education
Master of Science - MS at University of Wisconsin-Madison
Bachelor of Technology - BTech at Indian Institute of Technology, Kharagpur
