Binoy Chitale

Contact Info

Web Application Developer 2 (Jun 2019 - Jan 2021)
Web Application Developer (Jun 2018 - Jun 2019)
Associate Web Developer (Jun 2017 - Jun 2018)

Programmatic Rule Engine. Project owner and lead developer of Media.net’s real-time rule based ad targeting system which enables programmatic targeting of ad inventory for Media.net’s demand partners. Our systems are deployed in data centres across the globe, and operate at high scale within tight latency and QoS bounds.
Client-side Header Bidding through Prebid.js. Responsible for writing clean and efficient Javascript enabling Media.net to bid on ad-inventory through the Prebid.js Header Bidding library.
Building out Media.net’s Real Time Bidding (RTB) platform. Helping publishers maximize revenue by auctioning ad-inventory in real time. Maintaining a highly efficient bidding platform staged at multiple trading locations across the globe, while ensuring high QPS and low latency.
REARC working group (R&D). Member of an internal team researching and publishing a proposal to preserve the efficacy of the ad-tech ecosystem without compromising on user privacy.
Ad Slot Analytics. Enabling better ads by analysing ad-inventory on the web page across various metrics, and using this data to make intelligent bidding decisions which directly impact revenue.

Stony Brook University (2021 - Present)
M. S (Computer Science)
GPA - 3.84
Dwarkadas J Sanghvi College of Engineering, Mumbai (2013 - 2017)
Bachelor of Engineering (Computer Science)
CGPA - 8.48 / 10

Driver Analysis Using Telematic Data
An application to model and successfully fingerprint a driver using data derived from a GPS trajectory dataset.
Presented a paper titled Driver Analysis Using Telematic Data at the IEEE ICIIECS Conference (Coimbatore, India).

Prebid.js - Open source Header Bidding — https://github.com/prebid/Prebid.js
Contributed to Prebid.js, an open source Header Bidding library.
K0s - Zero Friction Kubernetes — https://github.com/k0sproject/k0s
IndraDB - A graph database in Rust — https://github.com/indradb/indradb

Low-cost computer systems for underprivileged students (2018)
Partnered with Vasundhara Charitable Trust, an NGO, to provide schools in the Tarapur-Dahanu area with low-cost Raspberry-Pi powered computers.
Configured these devices with Gcompris (an open-source learning platform), to enable computerized learning for students, and enable teachers to evaluate and review coursework in a single centralized repository.